2726 Data Science Jobs - Page 22

Job Purpose This role includes designing and building AI/ML products at scale to improve customer Understanding & Sentiment analysis, recommend customer requirements, recommend optimal inputs, Improve efficiency of Process. This role will collaborate with product owners and business owners. Key Responsibilities Leading a team of junior and experienced data scientists Lead and participate in end-to-end ML projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions. Push the state of the art in terms of the application of data mining, visualization, predictive modelling, statistics, trend analysis, and other data analysis techniques to solve complex business problems including lead classification, recommender systems, product life-cycle modelling, Design Optimization problems, Product cost & weigh optimization problems. Leverage and enhance applications utilizing NLP, LLM, OCR, image based models and Deep Learning Neural networks for use cases including text mining, speech and object recognition Identify future development needs, advance new emerging ML and AI technology, and set the strategy for the data science team Cultivate a product-centric, results-driven data science organization Write production ready code and deploy real time ML models; expose ML outputs through APIs Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation Provide leadership to establish world-class ML lifecycle management processes Job Requirements Qualifications MTech / BE / BTech / MSc in CS or Stats or Maths Experience Over 10 years of Applied Machine learning experience in the fields of Machine Learning, Statistical Modelling, Predictive Modelling, Text Mining, Natural Language Processing (NLP), LLM, OCR, Image based models, Deep learning and Optimization Expert Python Programmer: SQL, C#, extremely proficient with the SciPy stack (e.g. numpy, pandas, sci-kit learn, matplotlib) Proficiency in work with open source deep learning platforms like TensorFlow, Keras, Pytorch Knowledge of the Big Data Ecosystem: (Apache Spark, Hadoop, Hive, EMR, MapReduce) Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow) Functional Competencies A demonstrated ability to mentor junior data scientists and proven experience in collaborative work environments with external customers Proficient in communicating technical findings to non-technical stakeholders Holding routine peer code review of ML work done by the team Experience in leading and / or collaborating with small to midsized teams Experienced in building scalable / highly available distribute systems in production Experienced in ML lifecycle mgmt. and ML Ops tools & frameworks

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Who We Are & Why Join Us Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension?all tailored to the complexities of industrial environments, Cutting-Edge AI Innovation Join a team at the forefront of AI, developing groundbreaking solutions that shape the future, High-Growth Environment Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm, Meaningful Impact Work on AI-driven projects that drive real change across industries and improve lives, Learn more at: Avathon Title: Data Scientist Experience: 6 to 10 years Location: Bengaluru ( Brigade Metropolis Summit A, Garucharpalya Metro) Woking Mode: Onsite Job Description The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements As a Data Scientist, you'll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions They have the ability, inclination, and experience to conduct research that solves practical problems They have the communication skills to work closely with both research colleagues and customers, Roles And Responsibilities Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence Conduct research and create models for commercial and industrial applications in: forecasting stochastic demand, economics based inventory optimization, manufacturing and network planning, transportation routing and resource scheduling, anomaly detection, prescriptive maintenance (e-g based on IOT data), health and safety (e-g based on computer vision and IOT data), Conduct research across artificial intelligence areas including reinforcement learning, foundation models, graph neural networks, causal modeling, transferability and continuous learning Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities Contribute to AI product development and key data science research areas, internally and externally Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals Evaluate and respond to RFPs related to artificial intelligence Conduct research and write patent applications and technical publications Required Skills Experience with research-level innovation in Data Science and ML, preferably with an advanced degree, 6+ years of experience in one or more of forecasting, optimisation (inventory/ supply chain/ network/ transportation), procurement, prescriptive maintenance, fine-tuning language models, creating domain agents, computer vision Experience with reinforcement learning including MARL, graph neural networks, economic and probabilistic modeling is a plus, Strong understanding of Data Science, including machine learning, statistics, probability, and modeling, Significant experience with Data Science programming languages, such as Python, R, Matlab Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras, Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection Significant experience managing large volumes of data (terabytes or more) Experience with leading project teams, specifically data science teams Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders, Avathon is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws, Avathon is committed to providing reasonable accommodations throughout the recruiting process If you need a reasonable accommodation, please contact us to discuss how we can assist you,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem We are a leader in fleet safety solutions With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth, About Netradyne Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry Netradynes technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways?even off-road, Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries, Role And Responsibilities You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productizing generative AI and deep learning solutions, You will: Design, develop and deploy production ready scalable solutions that utilizes GenAI, Traditional ML models, Data science and ETL pipelines Collaborate with cross-functional teams to integrate AI-driven solutions into business operations, Build and enhance frameworks for automation, data processing, and model deployment, Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions, Conduct research and stay updated with the latest advancements in generative AI and related technologies, Deliver key product features within cloud analytics, Requirements: Tech, M Tech or PhD in computer science, electrical engineering, statistics or math, At least 5 years of working experience in data science, computer vision, or related domain, Proven experience with building and deploying generative AI solutions, Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP, Experience with Gen-AI tools and workflows, Proficiency in both vision-related AI and data analysis using generative AI, Experience with cloud platforms and deploying models at scale, Experience with transformer architectures and large language models (LLMs), Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face, Proven leadership and team management skills, Desired skills: Working experience with AWS, Azure AI tools is a plus, Technologies such as: Kafka streams, Queues, Rest API systems, Programing language: Python, SQL, C++ (good to have) Tools: Pytorch, FastAPI, MLFlow, Hugging face pipelines, Langgraph, OpenAI Knowledge of best practices in software development, including version control, testing, and continuous integration We are committed to an inclusive and diverse team Netradyne is an equal-opportunity employer We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status, If there is a match between your experiences/skills and the Company's needs, we will contact you directly, Netradyne is an equal-opportunity employer, Applicants only Recruiting agencies do not contact, Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers Scammers may present themselves to job seekers as Netradyne employees or recruiters Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind Official communication about your application will only come from emails ending in ?@netradyne,or ?@us-greenhouse-mail io, Please review and apply to our available job openings at Netradyne,/company/careers For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website,

Company Profile: Bain & Company is one of the top management consulting firms in the world In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center in Gurugram, now renamed as Bain Capability Network (BCN) The BCN plays a critical role in supporting Bain's case teams and initiatives globally to help with analytics and research across all industries and capabilities, Team Summary: This position is based in BCN's Gurgaon office and is a vital part of the Data and Technology team The Benchmarking team, part of the Data & Insights Industries CoE, plays a critical role in advancing Bain's expertise in the consumer products sector Our team is responsible for building and maintaining comprehensive databases that capture key industry benchmarks and performance metrics These data assets empower Bain's consultants to deliver unparalleled insights and drive value for clients in the consumer products industry By staying ahead of industry trends and leveraging advanced data analytics, the Consumer Products Benchmarking team supports Bains commitment to delivering top-tier strategic guidance to its clients Over time, we have developed seamless solutions and utilize powerful, dynamic visualizations and charts on various platforms to showcase our results A key arm of the team is also involved in creating critical intellectual property (IP) that is valuable for new CPG cases globally at Bain, Position Summary: The person in this role will need to: Translate business objectives into data and analytics solutions and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks, Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI, Will be a technical lead and might lead a small team, and manage their day-to-day activities and provide status update to PIT Required Experience: A Bachelors or Masters degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3+ years of experiencewith data science & data engineering with Hands-on experience with AI/GenAI tools Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration, Proficiency with data wrangling in either R or Python is required Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact, We are seeking an experienced Data Science Manager to lead our data science team and drive the development of innovative AI and machine learning solutions If you have a strong leadership background and a passion for data-driven decision-making, we would love to hear from you! Key Responsibilities: Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions, Oversee the design and implementation of machine learning models and data analysis workflows, Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations, Ensure best practices for data analysis, model deployment, and algorithm development, Manage project timelines, resources, and deliverables to ensure the successful execution of data science initiatives, Required Qualifications: 4+ years of experience in data science, including 1+ years in a leadership role, Strong proficiency in Python, R, SQL, and machine learning frameworks, Experience in leading data science projects and managing teams, Strong problem-solving skills and the ability to translate complex data insights into business strategies, Why Join Us Competitive pay (??1200/hour), Flexible hours, Remote opportunity, NOTE: Pay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 108K per month) once you clear our screening process, Shape the future of AI with Soul AI!

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI) We are looking for Indias top 1% Data Scientists for a unique job opportunity to work with the industry leaders, Who can be a part of the community We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing If you have experience in this field then this is your chance to collaborate with industry leaders, Whats in it for you Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing, Be a part of an Elite Community of professionals who can solve complex AI challenges, Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams, Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights, Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights, Own the full lifecycle of data science projects?from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring, Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models, Required Skills: Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling, Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure), Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen, Nice to Have: Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink), Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices, Contributions to open-source projects or published research, What are the next steps Register on our Soul AI website Our team will review your profile Clear all the screening rounds: Clear the assessments once you are shortlisted Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project Skip the Noise Focus on Opportunities Built for You!

Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience, 5 years of experience in product management or a related technical role, Experience developing internet products and technologies, Preferred qualifications: Experience in managing services growth, including SaaS businesses, web services, or subscription services, Experience creating efficient converting growth funnels that deliver business outcomes with user experience, Experience in presenting consumer promotional offers in an Ecommerce environment, Experience managing an Ecommerce or web service, Knowledge of statistics and AI-driven experiments, Excellent collaboration with a variety of teams including engineering, UX, operations, data science, and finance, About The Job At Google, we put our users first The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day, In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds You can break down complex problems into steps that drive product development, One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management Our team works closely with creative engineers, designers, marketers, etc to help design and develop technologies that improve access to the world's information We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users, Google's mission is to organize the world's information and make it universally accessible and useful Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology, Responsibilities Manage pipeline of growth experiments include Pixel and device promotional experiments, subscriber growth promotions, and our experimentation framework and philosophy, Manage our infrastructure and work closely with marketing to develop a strategy to increase site traffic, Manage our front-end marketing surface for prospective users and logged in users Create a more integrated experience across the surfaces, Integrate with new content management system, enabling velocity and re-usability of assets, Collaborate with the Pixel team, Android, and other Google subscriptions manage Fi promotions and cross-marketing across sites, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form ,

Company Description Wise is a global technology company, building the best way to move and manage the worlds money, Min fees Max ease Full speed, Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money, As part of our team, you will be helping us create an entirely new network for the world's money, For everyone, everywhere, Job Description More about our mission and what we offer, Salary Range: INR 3,406,000 3,926,000 Per Annum + RSU's Your mission will be to deeply understand the needs of Indian customers and help your team to focus on solving their most critical problems, The focus of this team is to ensure that customers in India use Wise in the most seamless, cost-effective, convenient, and fast way The goal for you, in this role will be to focus on and impact parts of our product that will help us scale 10x as we enable core functionality for global money transfers You will also help create a roadmap for Wises expansion in India, and bring more of Wises features to the country, How Youll Contribute Provide data drive insight to inform product decisions, from improving our onboarding flow to reduce friction using one product, Partner with Product Managers and other Analysts to set KPIs for the India team and monitor new product features impact on conversion, stickiness and engagement, Understand customers and the impact of our product on their lives, Build conviction on high-value areas and challenge them if there are faster or more effective ways to grow the market, Develop and execute a strategic roadmap for Wises expansion in India, introducing more of Wises innovative features to the market, Inspire a team environment where ideas are shared and openness is valued, Make contributions to the wider product goals of the company to achieve our Mission: Money without borders, Work cross-functionally with global teams to ensure alignment and integration of regional initiatives with Wises overall strategy, This Role Will Give You The Opportunity To Choose your path to impact we believe people are most empowered when they can act autonomously So rather than telling you what to do, youll work with your team to create a vision of your own Of course, you can always gather feedback from smart, curious people across Wise but youll have the freedom to make your own calls Grow as a Product Analyst Grow and inspire your team and others across Wise Get amazing exposure to the full breadth and depth of our product while working with a group of multi disciplinary teams of amazing, smart and dedicated product analysts, engineers, product managers, researchers, designers and many more The freedom to have real impact The opportunities youll identify are key to Wise reaching future millions of customers and redefining how payments work internationally at scale Qualifications Ideal candidate would have: At least 7 years of experience Strong analytical mind and product intuition, centered around the Indian banking and financial industry, Technical skill-set in Python, advanced SQL, BI tools Experience working with technical teams (PMs, engineers, designers, analysts) Relevant experience in a data driven and complex environment with limited guidance Understanding of events data Mixpanel / Google Analytics / Amplitude or similar Excellent data visualisation and presentation skills Hustler-mentality You can take work beyond the analysis and get things done, Good To Have Knowledge of the fintech ecosystem in India Knowledge of regulations and competitive landscape Knowledge of utilities like Airflow/Github/DBT Experience on funnel optimization Experience in Data Science and Machine Learning Interest in learning new tools Additional Information For everyone, everywhere We're people building money without borders ? without judgement or prejudice, too We believe teams are strongest when they are diverse, equitable and inclusive, We're proud to have a truly international team, and we celebrate our differences, Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers, If you want to find out more about what it's like to work at Wise visit Wise Jobs, Keep up to date with life at Wise by following us on LinkedIn and Instagram,

Job Description - You Will :Focus on ML model load testing and creation of E2E test case sEvaluate modelsscalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the model sEnhance monitoring of model scalability, and handle incident of increased error rat eCollaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional team s You Brin g:Advanced degree (Masters or Ph D ) in Computer Science/Statistics/Data Science, specializing in machine learni ng3+ years of industry experience (pls dont include years in a research group or R&D tea m)Strong programming skills in languages such as Java, Python, Sca laHands-on Experience in Databricks, mlFlow, Seld onExcellent problem-solving skills and analytical skil lsExpertise in recommendation algorith msExperience with software engineering principles, and use of cloud services like A WS Preferred Qualificatio ns:Experience in Kubeflow, Tecton, Jenk insExperience in building and monitoring large-scale online customer-facing ML applications, preferably recommendation syst emsExperience working with custom ML platforms, feature store, and monitoring ML mod elsFamiliarity with best practices in machine learning and software engineeri

About this opportunity: Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally We are seeking a highly skilled and experienced Data Engineer to join our dynamic team at Ericsson As a Data Engineer, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments, What you will do: Experience in analyzing complex problems and translate it into algorithms High customer focus with high accountability for delivering high-quality products Very strong skills in software development using Advanced Python Backend development in RestAPIs using Flask, FastAPI Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Have experience of GCP cloud Solid communication and presentation skills Furthermore, we believe you are curious, innovative, high own self-drive, and collaborative Writing queries to target Casandra, PostgreSQL database Design Principles in application development The skills you bring: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field A Master's degree or PhD is preferred, 2-5 years of experience in Python and in advanced Python preferably within the telecommunications or related industry, Strong programming skills in Python and SQL, Excellent problem-solving skills and ability to work independently as well as part of a team, Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders, Why join Ericsson At Ericsson, you?ll have an outstanding opportunity The chance to use your skills and imagination to push the boundaries of what?s possible To build solutions never seen before to some of the worlds toughest problems You?ll be challenged, but you wont be alone You?ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next, What happens once you apply Click Here to find all you need to know about what our typical hiring process looks like, Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team Ericsson is proud to be an Equal Opportunity Employer learn more, Primary country and city: India (IN) || Noida Req ID: 767973

Founded in April 2018 and headquartered in Zug, AMINA Bank is a pioneer in the financial industry providing a seamless, secure and easy-to-use bridge between digital and traditional assets As a smart bank AMINA Bank offers a fully universal suite of regulated banking services in the emerging digital economy In August 2019, AMINA Bank received a Swiss banking and securities dealer license the first time a reputed, regulatory authority such as FINMA has granted a license to a financial services provider with a core capability in digital assets The broad, vertically integrated spectrum of services combined with the highest security standards, make AMINA Banks value proposition unique CVVC Global Report and CB Insights names AMINA Bank as Top 50 Companies within the blockchain ecosystem, AMINA India is a wholly owned subsidiary of AMINA Bank AG, a FINMA licensed Swiss Bank focused on cryptocurrencies and digital assets AMINA provides custody, trading, credit and investment products on cryptocurrencies and digital assets to institutional and professional investors AMINA Bank is Headquartered in Zug, with presence in Mumbai, Abu Dhabi, Hong Kong and Singapore, AMINA India acts as a virtual extension of the bank supporting activities spanning digital assets research, investment solutions, trading & liquidity management, risk management and more recently mid/back-office and IT operations, We are seeking a highly motivated and detail-oriented Junior eTrading Engineer to join our dynamic eTrading team within the Trading & Treasury department In this role, you will report directly to the Head of eTrading and will be responsible for supporting the team in various trading activities, data analysis, and system management, In the eTrading team, you will be responsible for the following: Work on bank strategic projects within trading This involves analyst, project management, and testing tasks, Support the trading desk with daily run-the-bank tasks This includes client setups for pricing and trading, reporting tasks and ad hoc trade analysis, Development of the eTrading platform for the Spot and Derivatives desks This includes management of exchange connectivity and client eTrading tools, optimizing pricing/auto-hedging setups, and performing data analysis, Programming of algorithmic models for pricing and execution, For you to become part of AMINAs journey, we require the following set of experience: A finished master or completed bachelor certification in Engineering or in Banking & Finance Interest in trading, and technology Experience in markets like FX, Equities or Crypto is a plus Ideally 1-2 yearswork experience, graduates will also be considered, Programming skills in an object-oriented language like Java or Python is a must have Knowledge in Data science is a plus, Strong analytical and problem-solving skills, ability to think quickly and offer alternative solutions with great attention to details An independent, organized, goal-oriented, motivated self-starter who can work well in a creative and enthusiastic business environment Understanding of crypto/blockchain technology and processes is a plus Business fluent English is mandatory Join our skilled team and together redefine finance! We owe our exponential growth to our innovative and collaborate team spirit and talented workforce Every voice counts as we are always committed to learning from diverse perspectives and backgrounds because our people make the difference at AMINA Bank Regardless of your age, gender, belief, and background, at AMINA EVERYONE (E) is welcome!

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree, Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines, Experience with classification and regression, prediction and inferential tasks, training/validation criteria for machine learning algorithm performance, Experience in identifying opportunities for business/product improvement and defining the initiatives, Experience in developing new models, methods, analysis and approaches, About The Job Help serve Google's worldwide user base of more than a billion people Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions You will weave stories with meaningful insight from data You'll make critical recommendations for your fellow Googlers in Engineering and Product Management You relish tallying up the numbers one minute and communicating your findings to a team leader the next, Responsibilities Partner with Play/Apps Product Managers, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences, Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play/Apps team, Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information, Follow engineering best practice to create data pipelines and models, Develop and automate reports, build and prototype dashboards to provide insights for problem-solving needs, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form ,

We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field Strong experience in R programming and package development Proficiency with GitHub and unit testing frameworks. Strong documentation and communication skills. A background or work experience in biostatistics or a similar discipline (Preferred). Expert knowledge in Survival Analysis (Preferred) Statistical model deployment, and end-to-end MLOps is nice to have. Having worked extensively on cloud infrastructure, preferably Databricks and Azure. Shiny development is nice to have. Can work with customer stakeholders to understand business processes and workflows and can design solutions to optimize processes via streamlining and automation. DevOps experience and familiarity with software release process. Familiar with agile delivery methods. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Key responsibilities include: Evaluate and document R packages, including metadata and user-focused use cases. Develop unit tests aligned with best practices in R package development. Collaborate closely with internal stakeholders. Design and implement technical solutions for Survival Analysis, based on statistical and business requirements Develop professional quality R packages. Provide consultancy on Biostats model development and deployment best practices. Review and optimize code, integrate existing modelling code into packages. Design and implement end to end modelling and deployment process on Databricks. Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution. Continually innovate with the team and the customer on using modern tooling to improve model development and deployment. Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to migrate scripts from Matlab to Python. Also, work on re-creation data visualizations using Tableau/PowerBI. Desired Skills and Experience Essential skills 4-6 years of experience with data analytics Skilled in Python, PySpark, and MATLAB Working knowledge of Snowflake and SQL Hands-on experience to generate dashboards using Tableau/Power BI Experience working with financial and/or alternative data products Excellent analytical and strong problem-solving skills Working knowledge of data science concepts, regression, statistics and the associated python libraries Interest in quantitative equity investing and data analysis Familiarity with version control systems such as GIT Education: B.E./B.Tech in Computer Science or related field Key Responsibilities Re-write and enhance the existing analytics process and code from Matlab to Python Build a GUI to allow users to provide parameters for generating these reports Store the data in Snowflake tables and write queries using PySpark to extract, manipulate, and upload data as needed Re-create the existing dashboards in Tableau and Power BI Collaborate with the firms research and IT team to ensure data quality and security Engage with technical and non-technical clients as SME on data asset offerings Key Metrics Python, SQL, MATLAB, Snowflake, Pandas/PySpark Tableau, PowerBI, Data Science Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Building models using best inclass ML technology. Training/fine tuning modelswith new/modified training dataset. Selecting features, buildingand optimizing classifiers using machine learning techniques Data mining usingstate-of-the-art methods Processing, cleansing, andverifying the integrity of data used for analysis Enhancing data collectionprocedures to include information that is relevant for building analyticsystems Technical skills Mandatory 3 to 8 years of experience as MachineLearning Researcher or Data Scientist Graduate in Engineering,Technology along with good business skills Good applied statistics skills,such as distributions, statistical testing, regression, etc. Excellent understanding ofmachine learning techniques and algorithms including knowledge about LLM Experience with NLP. Good scripting and programmingskills in Python Basic understanding of NoSQLdatabases, such as MongoDB, Cassandra Nice to have Exposure to financial researchdomain Experience with JIRA,Confluence Understanding of scrum andAgile methodologies Experience with datavisualization tools, such as Grafana, GGplot, etc. Soft skills Oral and written communicationskills Good problem solving andnegotiation skills Passion, curiosity andattention to detail

The Lead MLOps Engineer will be responsible for leading technology initiatives aimed at improving business value and outcomes in the areas of digital marketing and commercial analytics through the adoption of Artificial Intelligence (AI) enabled solutions. Working with cross-functional teams across AI projects to operationalize data science models to deployed scalable solutions delivering business value. They should be inquisitive and bring an innovate mindset to work every day, researching, proposing, and implementing MLOps process improvements, solution ideas and ways of working to be more agile, lean and productive. Provide leadership and technical expertise in operationalizing machine learning models, bridging the gap between data science and IT operations. Key responsibilities include designing, implementing, and optimizing MLOps infrastructure, building CI/CD pipelines for ML models, and ensuring the security and scalability of ML systems. Key Responsibilities Architect Deploy: Design and manage scalable ML infrastructure on Azure (AKS), leveraging Infrastructure as Code principles. Automate Accelerate: Build and optimize CI/CD pipelines with GitHub Actions for seamless software, data, and model delivery. Engineer Performance: Develop efficient and reliable data pipelines using Python and distributed computing frameworks. Ensure Reliability: Implement solutions for deploying and maintaining ML models in production. Collaborate Innovate: Partner with data scientists and engineers to continuously enhance existing MLOps capabilities. Key Competencies Experience: A minimum of 5+ years of experience in software engineering, data science, or a related field with experience in MLOps is typically required. Education: A bachelor's or master's degree in Computer Science / Engineering. Soft Skills: Strong analytical and problem-solving skills, excellent communication and collaboration skills, and the ability to work in a fast-paced environment are highly valued. Azure AKS: Deep hands-on experience. IaC CI/CD: Mastery of Terraform/Bicep GitHub Actions. Data Engineering: Advanced Python Spark for complex pipelines. ML Operations: Proven ability in model serving monitoring. Problem Solver: Adept at navigating complex technical challenges and delivering solutions.

Job Purpose We are seeking a Data Operations Engineer to improve the reliability and performance of data pipeline. Successful candidates will work with researchers, data strategists, operations and engineering teams to establish the smooth functioning of the pipeline sourced from an enormous and continuously updating catalog of vendor and market data. Essential Skills and Experience B.Tech/ M.Tech/ MCA with 1-3 years of overall experience Proficient with Python programming language like as well as common query languages like SQL Experience with the Unix platform and toolset such as bash, git, and regex. Excellent English communication: Oral and Writing Experience in the financial services industry or data science is a plus Critical thinking to dive into complex issues, identify root causes, and suggest or implement solutions A positive team focused attitude and work ethic Key Responsibilities Support the daily operation and monitoring of the pipeline Triage issues in timely manner, monitor real time alerts while also servicing research driven workflows Improve the reliability and operability of pipeline components Solve both business and technical problems around data structure, quality, and availability Interact with external vendors on behalf of internal clients. Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards Key Metrics Core Python, Linux Good to have Perl or C++ PromQL Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Job Description Are you interested in joining a dynamic global team that has a great impact on the Collins' organization? If so, then this is the job for you! The Global Technical Solutions (GTS) organization brings employees together across Collins that work on Electronic Computer-Aided Design (ECAD), Mechanical Computer-Aided Design (MCAD), Technical Documentation and Technical Excellence. As a Data Scientist specializing in process improvements for Mechanical Computer-Aided Design (MCAD), Electrical Computer-Aided Design (ECAD), and Technical Publications, you will be integral to enhancing the efficiency, accuracy, and consistency of design and documentation processes within GTS. Leveraging data analytics and automation, youll develop data-driven solutions to streamline workflows, reduce errors, and improve quality across mechanical and electrical design outputs as well as technical publications. Collaborating closely with MCAD and ECAD design teams, technical authors, and cross-functional stakeholders, youll contribute to advanced process optimization and best practices for aerospace engineering documentation. What YOU will do: Develop strategy on data in collaboration with senior leadership team, technology team and Tools leader by implementing innovative data technology to solve difficult business problems. Build and maintain data pipelines to collect, process, and store large volumes of data. Develop ETL/ELT pipelines to move and transform data. Ensure data systems are scalable, fast, and reliable. Work with big data tools like Data Lakes, Apache Spark, Kafka, and cloud platforms. Designing, creating and maintaining dashboards, reports, and other data visualizations for various departments within an organization by developing and implementing data visualization standards and guidelines, and providing technical support and training to other team members on data visualization tools and techniques by staying on top of latest data visualization trends and techniques. Data Analysis & Process Insights for Portfolio of programs: Collect, clean, and analyze data from MCAD and ECAD systems, technical documentations, finance, HR and related tools. Identify inefficiencies, error trends, and bottlenecks across the design-to-documentation lifecycle to drive improvements in process quality and speed. Workflow Optimization for Cross-Disciplinary Design & Documentation: Identify improvement opportunities within product areas of MCAD, ECAD, Technical Documentation and Technical Excellence processes. Develop and implement data-driven solutions to reduce manual steps, improve cross-functional integration, and enhance document consistency and accuracy. Dashboarding & Visualization for Process Monitoring: Build and maintain dashboards to provide real-time monitoring of key metrics for MCAD, ECAD, Technical Documentation and Technical Excellence processes. Enable data-driven insights into process performance, workload management, and error trends for continuous improvement Cross-Functional Collaboration: Work closely with MCAD, ECAD, and technical documentation teams to understand their challenges and requirements. Serve as a data-driven consultant to technical authors, design engineers, and quality teams, ensuring the integration of analytics solutions aligns with the needs of each function. Documentation & Reporting: Document analytical methods, model specifications, and process improvements. Provide regular impact reports and key insights for continuous process optimization across MCAD, ECAD, and technical publications. Process Improvement: Identify and implement improvements using CORE events and engagements. Travel up to 10% of the time per business needs. Qualifications You Must Have: BE/B.Tech or MS/M.Tech or Phd with 8 to 13 Years of experience. 8+ years of experience in data engineering, data science, process improvement, or analytics, preferably within aerospace or a similar industry with a focus on design and documentation 8+ years experience in programming languages and relevant experience developing front end and backend tools (eg, Python, R, SQL, Cloud Platforms, PowerApps, PowerBI, Tableau, etc.) for data engineering, analysis and visualization. 8+ years’ experience creating data visualizations to articulate messaging to executive leadership using tools such as Power BI, Tableau, Alteryx etc. Qualifications We Prefer: Bachelor’s or master’s degree in data science, Engineering, Computer Science, Business or a related field, with a focus on design processes, technical documentation, or process optimization Employee in Global Technical Solutions, effective January 2025 Awareness of MCAD and ECAD tools (e.g., CATIA, SolidWorks, Altium, or Siemens EDA) Ability to explain data-driven insights to both technical and non-technical audiences Ability to collaborate effectively in cross-functional teams and drive alignment across disciplines What We Offer: Some of our competitive benefits package includes: Transportation facility. Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of sick leave annually. Employee scholar program Work life balance Car lease program National Pension Scheme LTA Fuel & Maintenance /Driver wages And more! Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. Apply now and be part of the team that’s redefining aerospace, every day

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

vConstruct , a Pune based Construction Technology company seeks a Project Manager for their AI/ML team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Project Planning & Execution Define and manage AI/ML project scope, timelines, deliverables, and risk profiles. Build detailed project roadmaps with clear milestones and sprint plans. Oversee the complete AI lifecycle from use-case discovery to model deployment. Cross-Functional Collaboration Act as the strategic link between data scientists, ML engineers, ML Ops, domain SMEs, and Initiative Leads. Facilitate agile ceremonies including sprint planning, retrospectives, and stakeholder reviews using GitHub or Azure DevOps. Risk & Dependency Management Anticipate and mitigate risks around data readiness, infrastructure, and cross-team dependencies. Manage change control, escalations, and course corrections proactively. Governance & Documentation Maintain complete project documentation including use case briefs, dashboards, decision logs, and ROI reports. Ensure compliance with internal standards, policies, and AI governance frameworks. Qualification: Bachelors or Masters in engineering, Data Science, Computer Science, or related field. Certifications in PMP, PMI-ACP, or Agile/Scrum methodologies. Relevant PM Degrees in case any. Familiarity with cloud-based AI platforms (Azure ML, AWS Sagemaker, etc.) 8-10 years of professional experience with atleast 4 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Understanding of Python & SQL will be good to have. Proficiency in ML, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, wed like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the companys ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 3+ years of experience solving analytical problems using quantitative approaches Experience communicating quantitative analysis results Knowledge with relational databases and SQL Development experience in any scripting language (PHP, Python, Perl, etc.) Knowledge of statistics (e.g., hypothesis testing, regressions) Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have Programming – Python (Preferred) / R ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect Classification – Bagging & Boosting (Random Forest), Decision tree, SVM Clustering – K-Means, hierarchical, DB-Scan Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM Neural Networks (Deep learning), Naive Bayes Excel and SQL Dimensionality Reduction – PCA, SVD etc. Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – Visualization – Tableau / Power BI / Looker / QlikView Data management – HDFS, Spark, Advanced Excel Agile Tools – Azure DevOps, JIRA Pyspark Big Data/Hive Database IDE: Pycharm

Product Managers at SpotDraft strive to build a highly reliable, fast, secure, and scalable platform. The product team conceptualizes strategy and features that would evangelize it and provides a roadmap for creating thorough, user-centric solutions. The team comprises visionaries, risk-takers, and go-getters who are adept at analyzing fast and analyzing right, identifying and keeping all the variables in consideration. Key Responsibilities: Working closely with the Backend Engineering & Front-end Engineering, Legal Tech, Design, and Customer Success teams to deliver world-class customer-obsessed products and features Be the voice of the customer. Develop a deep understanding of our customers and build the best product user experiences on their behalf. Get onto meetings with the customers to understand their needs and solve their pain points Create knowledge base and training videos to help customers get more value from SpotDraft Set up nudges and tooltips to train and drive product-led adoption Create detailed product requirement documents and user stories with an ability to imagine the user journeys - happy paths, unhappy paths, and edge cases Empathize with dozens of personas and use cases, and think user-first. Have a data-oriented approach and an eye for numbers, insights, and metrics. Ability to think creatively, deal with ambiguity, and manage fast-paced environments and changing priorities. And most essentially, a founder's mindset: is to own initiatives & deliver results. Requirements: 3-5 years of relevant product management experience in a product company Has shipped high impact products consistently, ideally for a SaaS product High energy and high ownership individual with a keen interest in building 0 to 1 systems that have large-scale real-world impact Good understanding of UX Design practices in the SaaS space Ability to think granularly and are hungry to learn and evolve in all things. Bias for action and experience making things happen in a fast-paced, dynamic environment. Strong written and verbal communication skills with a knack for articulating customer challenges clearly. Analyze and synthesize data, including writing SQL Proficient with data analytics tools like Google Analytics, Amplitude, Metabase etc., or the equivalents Working at SpotDraft When you join SpotDraft, you will be joining an ambitious team that is passionate about creating a globally recognized legal tech company. We set each other up for success and encourage everyone in the team to play an active role in building the company. An opportunity to work alongside one of the most talent-dense teams. An opportunity to build your professional network through interacting with influential and highly sought-after founders, investors, venture capitalists and market leaders. Hands-on impact and space for complete ownership of end-to-end processes. We are an outcome-driven organisation and trust each other to drive outcomes whilst being audacious with our goals. Our Core Values Our business is to delight Customers Be Transparent. Be Direct Be Audacious Outcomes over everything else Be 1% better every day Elevate each other Be passionate. Take Ownership