Introduction: SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. Job Description: We're seeking a skilled individual proficient in Python with strong analytical and problem-solving skills Key Responsibilities: Assist in collecting, cleaning, and processing data from various sources to support data-driven decision-making. Work with senior data scientists to develop, test, and validate machine learning models. Conduct literature reviews and stay updated on the latest trends and advancements in data science and AI. Create and maintain dashboards and reports to effectively communicate findings to stakeholders. Work collaboratively with cross-functional teams to understand business requirements and deliver appropriate data solutions. Maintain thorough documentation of methodologies, processes, and project progress. Qualifications: Recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic understanding of programming languages such as Python or R. Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy, Scikit-learn). Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. Strong analytical and problem-solving skills. A passion for data science and a keen interest in learning new tools and technologies. Good oral and written communication skills to effectively convey ideas and results. Ability to work well in a collaborative team environment. About Us: At SymphonyAI, we are building the leading AI SaaS company for enterprise transformation across the most critical industry sectors. We provide focused AI applications designed to rapidly solve challenging business problems and deliver breakthrough insights, increasing operational efficiencies and growing revenue for customers. We are on a mission to build a “World Class Engineering Team” with a high-performance culture. Over 3000 talented leaders, data scientists, and other professionals incubate and build SymphonyAI Group solutions

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Job Description: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.

Job Title: Optimization Scientist – Route & Inventory Optimization (OR & RL) Location: Hyderabad (On-site) Experience Required: 1+ year Company Overview: We are a leading AI-driven supply chain solutions company focused on transforming retail, FMCG, and logistics through cutting-edge technologies in machine learning, operations research, and reinforcement learning. Our mission is to build intelligent systems that enhance decision-making and automate processes across forecasting, inventory, and transportation. Internship Overview: We are seeking a passionate and motivated AI/ML Intern to support the development of intelligent optimization systems for route planning and inventory allocation. You will work alongside experienced scientists and engineers, gaining hands-on experience in applying machine learning, reinforcement learning, and operations research to real-world logistics challenges. Key Responsibilities: 🔹 Assist in Route Optimization Projects: Support in modeling and solving simplified versions of Vehicle Routing Problems (VRP) under guidance. Work with Python libraries like Pyomo or OR-Tools to prototype optimization solutions. Explore reinforcement learning methods (e.g., DQN, PPO) for dynamic routing decisions under uncertainty. 🔹 Support Inventory Optimization Efforts: Learn to model multi-echelon inventory systems using basic OR and simulation techniques. Analyze historical data to understand stock levels, service times, and demand variability. Help design experiments to evaluate replenishment strategies and stocking policies. 🔹 Contribute to AI-Driven Decision Systems: Assist in integrating ML forecasting models with optimization pipelines. Participate in the development or testing of simulation environments for training RL agents. Collaborate with the team to evaluate model performance using historical or synthetic datasets. Required Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or related field. Good understanding of Python and key libraries (NumPy, Pandas, Matplotlib, Scikit-learn). Familiarity with basic optimization concepts (LP/MILP) and libraries like OR-Tools or Gurobi (student license). Basic knowledge of reinforcement learning frameworks (OpenAI Gym, Stable-Baselines3) is a plus. Strong problem-solving skills and willingness to learn advanced AI/OR techniques. What You’ll Gain: Hands-on exposure to real-world AI and optimization use cases in logistics and supply chain. Mentorship from experienced scientists in OR, ML, and RL. Experience working in a fast-paced, applied research environment. Opportunity to convert to a full-time role based on performance and business needs. About WINIT: WINIT is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience. We serve more than 600 global enterprises, helping them enhance efficiency, streamline logistics, and leverage AI/ML to optimize sales operations. With a commitment to innovation and global support, WINIT continues to lead digital transformation in sales. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business need Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What We’re Looking For... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree in computer science or another technical field or four or more years of work experience Four or more years of relevant work experience Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence . Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s PLEXOS ® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recogni z ed across the industry : Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition At Energy Exemplar, we believe in empowering our people by offering flexibility in how, when, and where they work. This flexibility has been a cornerstone of our success, fueling significant growth over the years, with the company expanding at an impressive rate of approximately 30% year over year . We understand that the best results come when our team members can balance their professional and personal lives, so we support various working arrangements that help you thrive. We don’t just celebrate the excellence of our product s but champion the quality of our people. They own their outcomes and perform to their best – every day. whether you're working from home, in the office, or on the go. Our flexible work culture fosters innovation, collaboration, and trust, making it easier to stay engaged and connected, no matter where you are. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success ’ , ‘One Global Team ’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always a t the forefront of everything we do . About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s award-winning PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition Energy Exemplar has grown significantly over the past few years, and we are continuing to do so at around 30% year on year. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do. About the Position We are a cutting-edge cloud-based SaaS company focused on automating and transforming data-driven workflows. Our Content Development Team develops Excel-based automation solutions using VBA, and we are transitioning to Python-based automation for better scalability, efficiency, and visualization. Candidate Requirements & Qualifications Develop, enhance, and maintain Excel-based solutions using VBA and Python Fetch and process data from external APIs into Excel Automate data representation using charts and dashboards Implement interactive graphs using Plotly, Dash, or Matplotlib Work with pandas, NumPy, and Excel file structures (XLSX, CSV, XML) Follow Agile development processes Skills Required 8+ years of experience in Excel automation (VBA, Power Query, or equivalent) Proficiency in Python for automation and API integrations Experience with RESTful APIs Basic knowledge of data visualization libraries (Plotly, Dash, Matplotlib) Familiarity with Agile methodologies Desired but not required (not needed for every position) Experience with Flask/Django for web automation Knowledge of SQL and database management Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective . We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business need Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What We’re Looking For... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree in computer science or another technical field or four or more years of work experience Four or more years of relevant work experience Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

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: Data Scientist 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 history of 150+ years 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. 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 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) Established in the Philippines in 1991 and in India in 2006, Sun Life Global Solutions, (formerly Asia Service Centers), 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. 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! Responsibility/Skillsets (Must) Understand and design analytical solutions to Business problems leveraging Data science. Should be able to understand and gather the requirement from Stakeholders. Propose and execute the solution and present the deliverables to Stakeholders. Manage and optimize the deliverables. Mentor and Train new team members. Develop POCs to enhance team’s capability. Skillsets (Must) Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models. Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business. Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Stronghold on Visualization tool libraries in Python like matplotlib, seaborn. Experience with cloud computing infrastructure like Azure, Cosmos DB, PowerBI. Able to develop, test and deploy models on Cloud/Web. Experience in Designing and Deploying Deep Learning Solutions Excellent knowledge of Deep Learning Architectures/Convolutional Neural Networks Excellent knowledge of Supervised Learning, Adversarial Learning Excellent Python Coding Skills Robust working knowledge with deep learning frameworks (like Tensor flow, Keras, PyTorch) Skillsets (Good To Have) BFSI Domain. Experience on Textual Analytics, Web Crawlers, Recommendation Engines Understanding of MLOps Qualifications BE/B. Tech. /MBA/M.Stat./M.Sc. or equivalent degree in Quant. from reputed institute. 5-10 years of relevant experience. Soft Skills Excellent organizational skills and ability to prioritize wide range of tasks Demonstrated initiative and creativity - ability to influence (add value) Strong interpersonal, communication, motivational, organizational and planning skills Job Category: Advanced Analytics Posting End Date: 10/07/2025 Show more Show less

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH offers hands-on, project-based virtual internships that bridge the gap between academic knowledge and industry skills. Our Data Science Internship is curated to provide aspiring data professionals with real-world exposure in data collection, analysis, modeling, and decision-making using cutting-edge tools. 🚀 Internship Overview As a Data Science Intern , you’ll work on real-time datasets , apply machine learning models , and generate actionable insights . The role is ideal for individuals looking to strengthen their understanding of data pipelines, predictive modeling, and storytelling with data . 🔧 Key Responsibilities Clean, manipulate, and analyze structured and unstructured datasets Build and evaluate machine learning models for prediction/classification Apply statistical techniques to uncover trends and insights Work with tools such as Python, Pandas, NumPy, Scikit-learn, and Jupyter Notebooks Create visualizations using Matplotlib, Seaborn, or Power BI/Tableau Collaborate with mentors and peers to solve data-driven problems Document code, findings, and processes in clear and concise reports ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering , or related fields Proficient in Python and familiar with Pandas, NumPy, and basic ML libraries Strong foundation in statistics, probability , and data visualization Understanding of supervised and unsupervised learning algorithms Eager to learn, experiment, and solve complex problems using data 🎓 What You’ll Gain Practical experience with real-world datasets and projects Exposure to machine learning workflows and tools Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance A portfolio of data science projects to showcase in interviews Show more Show less

Job Description Job Summary: As a AI Developer at Emerson, you will be responsible for analyzing complex data sets to identify trends, develop predictive models, and deliver actionable insights. You will collaborate with multi-functional teams to comprehend business needs and provide data-driven solutions that improve decision-making and boost business growth In this Role, Your Responsibilities Will Be: Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights. Develop and implement predictive models and algorithms to solve business problems and improve processes. Develop visual representations and dashboards to clearly communicate findings and insights to collaborators. Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions. Clean and preprocess data to ensure accuracy and completeness for analysis. Prepare and present reports on data analysis, model performance, and important data to collaborators and management Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Stay updated with the latest industry trends and advancements in data science and machine learning techniques. Who You Are: You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach. For This Role, You Will Need: Bachelor's degree in computer science, Data Science, Statistics, or a related field or equivalent experience is preferred Total 10-12 years of industry experience More than 5 years of experience in a data science or analytics role, with a strong track record of building and deploying models. Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with NLP, NLG, and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy). Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Strong verbal and written communication skills, capable of explaining complex technical details to non-technical collaborators Preferred Qualifications that Set You Apart: Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are nice to have Possession of relevant certification/s in data science from reputed universities specializing in AI. Familiarity with cloud platforms, Microsoft Azure is preferred Ability to work in a fast-paced environment and handle various projects simultaneously. Strong analytical and fixing skills, with the ability to resolve issues related to model performance and infrastructure Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. Show more Show less

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition At Energy Exemplar, we believe in empowering our people by offering flexibility in how, when, and where they work. This flexibility has been a cornerstone of our success, fueling significant growth over the years, with the company expanding at an impressive rate of approximately 30% year over year. We understand that the best results come when our team members can balance their professional and personal lives, so we support various working arrangements that help you thrive. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. whether you're working from home, in the office, or on the go. Our flexible work culture fosters innovation, collaboration, and trust, making it easier to stay engaged and connected, no matter where you are. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do. About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s award-winning PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition Energy Exemplar has grown significantly over the past few years, and we are continuing to do so at around 30% year on year. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do. About The Position We are a cutting-edge cloud-based SaaS company focused on automating and transforming data-driven workflows. Our Content Development Team develops Excel-based automation solutions using VBA, and we are transitioning to Python-based automation for better scalability, efficiency, and visualization. Candidate Requirements & Qualifications Develop, enhance, and maintain Excel-based solutionsusing VBA and Python Fetch and process data from external APIsinto Excel Automate data representationusing charts and dashboards Implement interactive graphs using Plotly, Dash, or Matplotlib Work with pandas, NumPy, and Excel file structures (XLSX, CSV, XML) Follow Agile development processes Skills Required 3-5 yearsof experience in Excel automation (VBA, Power Query, or equivalent) Proficiency in Pythonfor automation and API integrations Experience with RESTful APIs Basic knowledge of data visualization libraries(Plotly, Dash, Matplotlib) Familiarity with Agile methodologies Desired But Not Required (not Needed For Every Position) Experience with Flask/Djangofor web automation Knowledge of SQL and database management Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Show more Show less

Job Title: Data Scientist Location: Vadodara preferred or Remote Experience Level: Entry to Mid-level (0–5 years) Employment Type: Full-Time Job Summary: We are seeking a skilled and driven Data Scientist with experience in Big Data, Large Language Models (LLMs), data organization, data analytics and advanced Excel. The ideal candidate will have a strong analytical background, a passion for uncovering insights from complex datasets and the ability to communicate data-driven findings to technical and non-technical stakeholders. You will be instrumental in designing and implementing data solutions that empower business decision-making and innovation. Key Responsibilities: · Collect, clean and organize large and complex datasets from multiple sources. · Develop and deploy predictive models and machine learning algorithms, including applications involving LLMs (e.g., GPT, BERT). · Analyse structured and unstructured data to generate actionable insights for business strategies. · Collaborate with cross-functional teams to identify data-related opportunities and deliver data-driven solutions. · Build scalable data pipelines and contribute to data architecture best practices. · Design and maintain advanced Excel dashboards, models and reports to support various departments. · Apply statistical and data mining techniques to interpret and visualize trends, patterns and correlations. · Present findings clearly through reports, visualizations and presentations tailored to different audiences. · Stay current on emerging data technologies, tools and methodologies. Required Qualifications: · Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics or a related field. · 0 to 5 years of experience in a data science or analytics role. · Advanced skills in Microsoft Excel, including Power Query, pivot tables, VBA/macros and complex formulas. · Solid understanding of relational databases and SQL. · Strong communication and problem-solving skills. Preferred Qualifications: · Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Hive). · Experience with cloud platforms (e.g., AWS, Azure, GCP) for data processing and model deployment. · Working knowledge or experience with Large Language Models (LLMs) and NLP techniques. · Proficiency in Python, R, or other data science programming languages. · Expertise in data analytics, data visualization (e.g., Tableau, Power BI, matplotlib) and data wrangling. · Familiarity with MLOps and model lifecycle management. · Knowledge of version control tools such as Git. · Experience with APIs and integrating external data sources. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Title: Data Scientist Location: Remote Job Type: Full-Time | Permanent Experience Required: 4+ Years About the Role: We are looking for a highly motivated and analytical Data Scientist with 4 years of industry experience to join our data team. The ideal candidate will have a strong background in Python , SQL , and experience deploying machine learning models using AWS SageMaker . You will be responsible for solving complex business problems with data-driven solutions, developing models, and helping scale machine learning systems into production environments. Key Responsibilities: Model Development: Design, develop, and validate machine learning models for classification, regression, and clustering tasks. Work with structured and unstructured data to extract actionable insights and drive business outcomes. Deployment & MLOps: Deploy machine learning models using AWS SageMaker , including model training, tuning, hosting, and monitoring. Build reusable pipelines for model deployment, automation, and performance tracking. Data Exploration & Feature Engineering: Perform data wrangling, preprocessing, and feature engineering using Python and SQL . Conduct EDA (exploratory data analysis) to identify patterns and anomalies. Collaboration: Work closely with data engineers, product managers, and business stakeholders to define data problems and deliver scalable solutions. Present model results and insights to both technical and non-technical audiences. Continuous Improvement: Stay updated on the latest advancements in machine learning, AI, and cloud technologies. Suggest and implement best practices for experimentation, model governance, and documentation. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 4+ years of hands-on experience in data science, machine learning, or applied AI roles. Proficiency in Python for data analysis, model development, and scripting. Strong SQL skills for querying and manipulating large datasets. Hands-on experience with AWS SageMaker , including model training, deployment, and monitoring. Solid understanding of machine learning algorithms and techniques (supervised/unsupervised). Familiarity with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. Show more Show less

Job Description As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Responsibilities Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines Qualifications Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Show more Show less

CryptoChakra is a forward-thinking cryptocurrency analytics and education platform committed to making data-driven insights accessible and actionable for users worldwide. As we scale our operations and enhance our offerings, we prioritize transparency, innovation, and user-centric design. Our team is dedicated to transforming complex blockchain data into clear, compelling visual narratives that empower decision-making and foster crypto literacy. Role Description Position: Fresher Data Visualisation Analyst – Remote Employment Type: Internship (Paid or unpaid, depending on suitability and project requirements) Key Responsibilities: Data Visualisation Design: Create engaging and intuitive charts, graphs, dashboards, and infographics to communicate trends, patterns, and insights from cryptocurrency market data. Data Interpretation: Collaborate with data analysts and product teams to understand analysis results and translate them into visually compelling stories for diverse audiences. Tool Proficiency: Utilize industry-standard visualisation tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, Plotly) to build interactive dashboards and reports. Data Quality: Assist in reviewing and validating datasets to ensure accuracy and relevance for visualisation purposes. Stakeholder Communication: Present visualisations and findings to internal teams and stakeholders, ensuring clarity and actionable insights for both technical and non-technical audiences. Collaborative Innovation: Work closely with data scientists, engineers, and product managers to refine visualisation requirements and enhance the overall user experience. Documentation: Maintain documentation of visualisation methodologies, data sources, and design choices for transparency and future reference. Learning Outcomes: Hands-on Experience: Gain practical experience with real-world crypto datasets and advanced visualisation tools in a fintech environment. Skill Development: Learn best practices in data storytelling, dashboard design, and user interface principles. Mentorship: Receive guidance from experienced data visualisation specialists and blockchain professionals. Qualifications Core Requirements: Analytical Mindset: Strong interest in data analysis and the ability to interpret complex datasets. Technical Skills: Familiarity with data visualisation tools (Tableau, Power BI, or Python libraries) and basic data manipulation techniques (Excel, SQL). Design Sensibility: Eye for design, including layout, color theory, and accessibility in visual communication. Communication: Excellent written and verbal skills to present findings clearly and collaborate with cross-functional teams. Remote Work Ethic: Self-motivated, organized, and able to work independently in a distributed team. Academic Background: Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Graphic Design, or a related field. Preferred Assets: Portfolio: Showcase of past visualisation projects (GitHub, Tableau Public, or academic work). Blockchain/Crypto Interest: Curiosity about cryptocurrency markets or blockchain technology. UI/UX Basics: Understanding of user experience principles for dashboard usability. Why Join CryptoChakra? Impactful Contribution: Help shape how crypto data is understood and acted upon by users worldwide. Professional Growth: Develop expertise in data visualisation, analytics, and fintech innovation. Flexible Environment: Enjoy remote work, mentorship, and opportunities to contribute to exciting projects. Show more Show less

Working as an AI/ML Engineer at Navtech, you will: * Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly? * 2–4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a master’s degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. We’ll REALLY love you if you: * Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? * Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different geographies. About Us Navtech is a premier IT software and Services provider. Navtech’s mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. We’re a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Show more Show less

Programming Expertise: Proficiency in Python with knowledge of frameworks like Flask, or FastAPI. Understanding of Gen AI and visualization tools (e.g. PowerBI) and Fluency with Linux platform is a plus. Data Handling and Database Knowledge: Proficiency in Databases - MongoDB, PostgreSQL, Cassandra etc. Expertise in processing large datasets using Pandas and NumPy and visualizing the data using Plotly, Matplotlib, Seaborn, etc. Strong skills in data cleaning, manipulation, and transformation. Automation and Scripting: Ability to automate repetitive tasks using Python scripts or bash or command line scripts. Experience with tools like Airflow for automation. Testing and Debugging: Proficiency in testing frameworks and debugging issues efficiently. Cloud and Deployment: Basic understanding of cloud platforms (AWS, GCP, Azure) and CI/CD pipelines. Experience with tools like - Jenkins, Github Actions, Bitbucket Pipelines is a plus. Collaboration and Governance: Experience in Agile methodologies, version control, and cross-functional teamwork. Qualifications: Completed Three years of full-time Graduation (B. Com/ BMS / BBI / BAF / BFM , B. E. / B. Tech) 1 to 3 years of experience in software development Proficiency in at least one programming language - Python, GEN AI, Visualization tools.

Job Posting TitleBUSINESS INTELLIGENCE ANALYST I Band/Level5-4-S Education ExperienceBachelors Degree (High School +4 years) Employment ExperienceLess than 1 year At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity s Business Intelligence Teams are responsible for the processing, mining and delivery of data to their customer community through repositories, tools and services. Roles & Responsibilities Tasks & Responsibilities Assist in the development and deployment of Digital Factory solutions and Machine Learning models across Manufacturing, Quality, and Supply Chain functions. Support data collection, cleaning, preparation, and transformation from multiple sources, ensuring data consistency and readiness. Contribute to the creation of dashboards and reports using tools such as Power BI or Tableau. Work on basic analytics and visualization tasks to derive insights and identify improvement areas. Assist in maintaining existing ML models, including data monitoring and model retraining processes. Participate in small-scale PoCs (proof of concepts) and pilot projects with senior team members. Document use cases, write clean code with guidance, and contribute to knowledge-sharing sessions Support integration of models into production environments and perform basic testing. Desired Candidate Proficiency in Python and/or R for data analysis, along with libraries like Pandas, NumPy, Matplotlib, Seaborn. Basic understanding of statistical concepts such as distributions, correlation, regression, and hypothesis testing. Familiarity with SQL or other database querying tools; e.g., pyodbc, sqlite3, PostgreSQL. Exposure to ML algorithms like linear/logistic regression, decision trees, k-NN, or SVM. Basic knowledge of Jupyter Notebooks and version control using Git/GitHub. Good communication skills in English (written and verbal), able to explain technical topics simply Collaborative, eager to learn, and adaptable in a fast-paced and multicultural environment. Exposure to or interest in manufacturing technologies (e.g., stamping, molding, assembly). Exposure to cloud platforms (AWS/Azure) or services like S3, SageMaker, Redshift is an advantage. Hands-on experience in image data preprocessing (resizing, Gaussian blur, PCA) or computer vision projects. Interest in AutoML tools and transfer learning techniques. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site. Location

AI & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is focused on delivering practical, project-driven learning experiences to help students and graduates build careers in emerging technologies. Our AI & Machine Learning Internship is designed to offer hands-on experience in building intelligent systems and solving real-world problems using data. 🚀 Internship Overview As an AI & ML Intern , you will work on projects involving machine learning models, data preprocessing, and algorithm development . This internship will equip you with the skills to apply AI techniques in various domains, including natural language processing, computer vision, and predictive analytics. 🔧 Key Responsibilities Clean and preprocess datasets for training and testing machine learning models Build, train, and evaluate ML models using Python libraries like scikit-learn, TensorFlow, PyTorch, and Keras Work on projects involving classification, regression, clustering, NLP , or image processing Analyze model performance and optimize results through hyperparameter tuning Collaborate with team members to implement AI solutions for real-world scenarios Present findings through visualizations, reports, and presentations ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or related fields Strong foundation in Python programming and statistics Understanding of machine learning algorithms and AI concepts Familiarity with Jupyter Notebook , Pandas , NumPy , and visualization libraries like Matplotlib/Seaborn Bonus: Exposure to NLP, deep learning , or AI model deployment tools Curiosity, creativity, and a passion for solving problems with data 🎓 What You’ll Gain Hands-on experience with real datasets and applied ML projects Knowledge of industry-standard AI tools and workflows A portfolio of AI/ML projects you can showcase to employers Internship Certificate upon successful completion Letter of Recommendation for outstanding performers Opportunity for a Full-Time Offer based on performance Show more Show less

📊 Data Analyst Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is dedicated to providing career-ready skills through practical, hands-on virtual internships. The Data Analyst Internship is designed to give students and graduates the opportunity to work with real-world data , build strong analytical capabilities, and contribute to impactful business decisions. 🚀 Internship Overview As a Data Analyst Intern , you will dive into data from various domains to extract insights, build dashboards, and support decision-making . You’ll use tools like Excel, SQL, Python, and Power BI/Tableau to clean, analyze, and visualize data efficiently. 🔧 Key Responsibilities Collect, clean, and organize data from structured and unstructured sources Perform exploratory data analysis (EDA) to uncover trends and insights Create meaningful visualizations and interactive dashboards using Power BI or Tableau Write and optimize SQL queries for data extraction and transformation Use Python (Pandas, NumPy, Matplotlib) for advanced data processing and reporting Present analytical findings through reports and presentations Collaborate with cross-functional teams to support project goals ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, Economics , or a related field Basic knowledge of Excel, SQL, and Python Familiarity with data visualization tools like Power BI, Tableau, or Google Data Studio Analytical mindset with strong problem-solving abilities Good communication and data storytelling skills Eagerness to learn and apply data analysis techniques in real-world scenarios 🎓 What You’ll Gain Hands-on experience working with real datasets and business challenges Proficiency in data tools, techniques, and industry practices A strong portfolio of dashboards, reports, and insights Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance Show more Show less

Company Founded in 1998, we develop and support the Actran software suite for acoustic simulation as part of Hexagon Manufacturing Intelligence (www.hexagonmi.com). Leading automotive OEMs and suppliers, aircraft manufacturers, engine developers, audio system designers, and others use our technology to virtually improve the acoustic performance of their products through advanced simulation. Actran is used by hundreds of companies worldwide including Airbus, Boeing, Safran, Rolls Royce, Renault, BMW, Ferrari, Toyota, Honda, Volvo, Bose, Microsoft, Panasonic and many more. Actran is the premier acoustics software to solve acoustics, vibro-acoustics, and aero-acoustics problems. Used by automotive manufacturers and suppliers, aerospace and defense companies, and consumer product manufacturers, Actran helps engineers better understand and improve the acoustics performance of their designs. Function & Responsibilities As acoustic development engineer, you will work in the Product Development team that is responsible of the Actran software development. Please watch the short intro video on Actran here. Your main responsibilities will include: · Development of new features in Actran, matching with industrial expectations (accuracy, performance, robustness); · Participation to acoustic research topics · Recommendations on new technologies to be integrated in Actran to solve new challenges efficiently; · Interfaces with third party software when required; · Work on bug fixes; · Identify software design problems and devise elegant solutions. Quality Assurance (QA), industrial validation and software documentation benefit from daily interactions with dedicated teams. Profile · PhD in Applied Sciences, Computer Sciences (or equivalent by experience) · Programming skills in Python and C++ · Experience with a commercial structural dynamics solver (Nastran, Abaqus, Ansys, Optistruct) · Experience in programming on Linux environment · Experience in acoustic research, · Some experience in the design of complex object-oriented software : o C++: generic programming, Standard Template Library, boost libraries; o Python: C-bindings, python extension libraries, numpy, scipy, matplotlib. o Familiar with versioning system GIT, CI/CD development processes and containerization tools o Experience in Qt framework and VTK library is a plus o Basic knowledge of CAE-FEM tools (Ansa, Catia, Hypermesh) is a plus · Soft skills including being creative, self-learner autonomous, curious, capable of thinking out of the box, solution-oriented attitude, quality awareness, team spirit and flexibility · With good level of English. What we offer Besides an attractive salary package, the company provides a young and dynamic work environment. The average age of the team is below 40 and is mostly engineers and PhD’s. The development team is fully based in Europe (Belgium and France) Hexagon welcomes new talents and invests in their development. This results in a very creative and inspiring atmosphere which is influenced by every single individual, including you! Innovation, excellence, motivation and passion are among the most important values that our employees share. Show more Show less

Company- Founded in 1998, we develop and support the Actran software suite for acoustic simulation as part of Hexagon Manufacturing Intelligence (www.hexagonmi.com). Leading automotive OEMs and suppliers, aircraft manufacturers, engine developers, audio system designers, and others use our technology to virtually improve the acoustic performance of their products through advanced simulation. Actran is used by hundreds of companies worldwide including Airbus, Boeing, Safran, Rolls Royce, Renault, BMW, Ferrari, Toyota, Honda, Volvo, Bose, Microsoft, Panasonic and many more. Actran is the premier acoustics software to solve acoustics, vibro-acoustics, and aero-acoustics problems. Used by automotive manufacturers and suppliers, aerospace and defense companies, and consumer product manufacturers, Actran helps engineers better understand and improve the acoustics performance of their designs. Function & Responsibilities As acoustic development engineer, you will work in the Product Development team that is responsible of the Actran software development. Please watch the short intro video on Actran here. Your main responsibilities will include: · Development of new features in Actran, matching with industrial expectations (accuracy, performance, robustness); · Participation to acoustic research topics · Recommendations on new technologies to be integrated in Actran to solve new challenges efficiently; · Interfaces with third party software when required; · Work on bug fixes; · Identify software design problems and devise elegant solutions. Quality Assurance (QA), industrial validation and software documentation benefit from daily interactions with dedicated teams. Profile · PhD in Applied Sciences, Computer Sciences (or equivalent by experience) · Programming skills in Python and C++ · Experience with a commercial structural dynamics solver (Nastran, Abaqus, Ansys, Optistruct) · Experience in programming on Linux environment · Experience in acoustic research, · Some experience in the design of complex object-oriented software : o C++: generic programming, Standard Template Library, boost libraries; o Python: C-bindings, python extension libraries, numpy, scipy, matplotlib. o Familiar with versioning system GIT, CI/CD development processes and containerization tools o Basic knowledge of CAE-FEM tools (Ansa, Catia, Hypermesh) is a plus · Soft skills including being creative, self-learner autonomous, curious, capable of thinking out of the box, solution-oriented attitude, quality awareness, team spirit and flexibility What we offer Besides an attractive salary package, the company provides a young and dynamic work environment. The average age of the team is below 40 and is mostly engineers and PhD’s. The development team is fully based in Europe (Belgium and France) Hexagon welcomes new talents and invests in their development. This results in a very creative and inspiring atmosphere which is influenced by every single individual, including you! Innovation, excellence, motivation and passion are among the most important values that our employees share. Show more Show less

Role Overview As a Data Science Analyst at Jai Kisan, you will play a critical role in transforming data into actionable insights to inform strategic business decisions. You’ll work cross-functionally with product, engineering, operations, and leadership teams to unlock the full potential of data through advanced analytics, automation, and AI-driven insights. This role requires a solid foundation in data handling, modern analytics tooling, and a deep curiosity for leveraging emerging technologies like LLMs, vector databases, and cloud-native platforms. Key Responsibilities Collect, clean, preprocess, and validate datasets from diverse structured and unstructured sources including APIs, data lakes, and real-time streams. Conduct exploratory data analysis (EDA) to identify trends, correlations, and business opportunities using statistical and machine learning techniques. Build, maintain, and optimize scalable data pipelines using Airflow, dbt, or Dagster to support both batch and real-time analytics. Develop and deploy AI/ML models, including LLM-based applications, for predictive analytics, recommendation systems, and automation use cases. Work with vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and embedding-based applications. Design and manage dashboards and self-serve analytics tools using Power BI, Looker Studio, or Tableau to enable data-driven decisions. Collaborate with backend and data engineers to integrate data solutions into microservices and APIs. Interpret and clearly communicate complex analytical findings to stakeholders, including non-technical teams. Stay ahead of industry trends including AI advancements, data governance, MLOps, vector search, and cloud-native services. Required Skills & Technologies Databases: Proficient in SQL, PostgreSQL, MongoDB, with working knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate). Languages & Tools: Strong programming experience in Python (pandas, NumPy, scikit-learn, LangChain, PyTorch/TensorFlow), SQL, and optionally R. Data Workflow Tools: Experience with Apache Airflow, dbt, Dagster, or similar tools. BI & Visualization: Proficiency in Power BI, Tableau, Looker Studio, Plotly, or Matplotlib. AI/ML: Exposure to LLMs (GPT, BERT, etc.), embedding models, and AI prompt engineering for analytics augmentation. Data APIs & Embeddings: Familiarity with OpenAI, Cohere, Hugging Face APIs for vector search and semantic understanding. Cloud Platforms: Hands-on experience with AWS, GCP, or Azure, especially with services like S3, BigQuery, Redshift, Athena, or Azure Synapse. Version Control & DevOps: Experience using Git, CI/CD pipelines, and Docker is a plus. Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related field. 1–3 years of hands-on experience in a data analysis or applied machine learning role. Strong problem-solving and storytelling abilities with a deep sense of ownership. Excellent communication and collaboration skills; ability to translate technical findings into business impact. Good To Have Experience in MCP (Multi-Cloud Platforms) and cloud-agnostic data pipelines. Understanding of data mesh, data fabric, or modern data stack architectures. Contributions to open-source analytics tools or AI projects. Knowledge of data privacy, compliance standards (GDPR, SOC2), and data security best practices. Show more Show less

Introduction SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. Job Description We're seeking a skilled individual proficient in Python with strong analytical and problem-solving skills Key Responsibilities Assist in collecting, cleaning, and processing data from various sources to support data-driven decision-making. Work with senior data scientists to develop, test, and validate machine learning models. Conduct literature reviews and stay updated on the latest trends and advancements in data science and AI. Create and maintain dashboards and reports to effectively communicate findings to stakeholders. Work collaboratively with cross-functional teams to understand business requirements and deliver appropriate data solutions. Maintain thorough documentation of methodologies, processes, and project progress. Qualifications Recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic understanding of programming languages such as Python or R. Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy, Scikit-learn). Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. Strong analytical and problem-solving skills. A passion for data science and a keen interest in learning new tools and technologies. Good oral and written communication skills to effectively convey ideas and results. Ability to work well in a collaborative team environment. About Us At SymphonyAI, we are building the leading AI SaaS company for enterprise transformation across the most critical industry sectors. We provide focused AI applications designed to rapidly solve challenging business problems and deliver breakthrough insights, increasing operational efficiencies and growing revenue for customers. We are on a mission to build a “World Class Engineering Team” with a high-performance culture. Over 3000 talented leaders, data scientists, and other professionals incubate and build SymphonyAI Group solutions Show more Show less