494 Scipy Jobs - Page 9

Job Title: Sales Excellence - COE - Advanced Modeling Specialist - CF Management Level: ML9 Specialist Location: Open for all Must have skills: - Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Good to have skills: Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Job Summary : We are: Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. You are: An analyst with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes. Roles & Responsibilities: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage You will: Collect and process data from functions such as Sales, Marketing, and Finance Analyze data to develop business insights that support decision making. Communicate data insights in a clear and concise manner. Work closely with the COE team to develop industrialized solutions. Professional & Technical Skills: Bachelors degree or equivalent experience Excellent oral and written communication in English At least four years of experience doing data modeling and analysis work, which may include Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Project management experience Strong business acumen and attention to detail Additional Information: Understanding of sales processes and systems. Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Experience working with Power Apps. About Our Company | AccentureQualification Experience: Minimum 2 year(s) of experience is required Educational Qualification: Masters degree in Analytics or similar field.

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Bachelor of Engineering in Electronics or any related stream Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Hyderabad. You will lead the software development process from end-to-end or for specific product lifecycle stages. Roles & Responsibilities:- Lead the design and development of Python-based applications and services.Architect and implement cloud-native solutions using AWS services.Mentor and guide the Python development team, promoting best practices and code quality.Collaborate with data scientists and analysts to implement data processing pipelines.Participate in architecture discussions and contribute to technical decision-making. Ensure the scalability, reliability, and performance of Python applications on AWS. Professional & Technical Skills: - Experienced professional in Python programming language and expertise in web frameworks (Django, Flask, or FastAPI).Exposure to Data processing and analysis (e.g., Pandas, NumPy and SciPy) and Database technologies (SQL and NoSQL).Experienced in AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform).Exposure to Test-Driven Development (TDD) and DevOps practices.AWS Certified Developer certification is preferred. Additional Information:- The candidate should have a minimum of 5 years of experience in Python (Programming Language)- This position is based at our Hyderabad office- A 15 years full time education is required Qualification Bachelor of Engineering in Electronics or any related stream

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Python (Programming Language) Good to have skills : AWS AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Hyderabad. You will lead the software development process from end-to-end or for specific product lifecycle stages. Roles & Responsibilities:- Lead the design and development of Python-based applications and services.Architect and implement cloud-native solutions using AWS services.Mentor and guide the Python development team, promoting best practices and code quality.Collaborate with data scientists and analysts to implement data processing pipelines.Participate in architecture discussions and contribute to technical decision-making. Ensure the scalability, reliability, and performance of Python applications on AWS. Professional & Technical Skills: - Experienced professional in Python programming language and expertise in web frameworks (Django, Flask, or FastAPI).Exposure to Data processing and analysis (e.g., Pandas, NumPy and SciPy) and Database technologies (SQL and NoSQL).Experienced in AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform).Exposure to Test-Driven Development (TDD) and DevOps practices.AWS Certified Developer certification is preferred. Additional Information:- The candidate should have a minimum of 5 years of experience in Python (Programming Language)- This position is based at our Hyderabad office- A 15 years full time education is required Qualification 15 years full time education

Medical Signal Processing Software Engineer Location: Chennai, India Job Type: Full-Time Experience Level: 7–10 years About the Role:- We are seeking an experienced Medical Signal Processing Software Engineer to join our team in Chennai. In this role, you will develop robust pipelines to process biomedical signals, decode proprietary file formats, and contribute to the integration of clinical systems and analytics platforms. This is a hands-on engineering role ideal for someone with a deep understanding of physiological signal data and a passion for building scalable, high-performance tools for medical applications. Key Responsibilities:- Design and develop software solutions for biomedical signal processing using Python, C/C++, or Java Reverse-engineer and decode proprietary binary files from medical monitoring devices. Work with diverse data encoding formats including IEEE floating point, PCM, and BCD Build and optimize signal processing algorithms using libraries such as NumPy, SciPy, wfdb, BioSPPy, and neurokit2. Collaborate with MATLAB-based research teams for algorithm development and integration Convert and standardize physiological waveform data across formats such as SCP, EDF+, HL7 aECG, DICOM waveform, and MIT-BIH Analyze long-duration cardiac monitoring recordings, including signal segmentation and annotation Utilize tools like PhysioNet WFDB Toolkit and OpenECG Tools for efficient signal file handling Inspect and manipulate binary data using hex editors and Python modules like struct and bitstring Document processing workflows, file formats, and code for maintainability and compliance Integrate third-party APIs and plug-ins into medical signal processing pipelines Qualifications & Skills:- Proficiency in Python; experience with C/C++ or Java is highly desirable Proven expertise in reverse-engineering binary data formats Strong understanding of biomedical data standards, especially those used in cardiac monitoring Solid background in signal processing using Python and MATLAB Familiarity with binary inspection tools (e.g., HxD, 010 Editor) and relevant Python libraries (struct, bitstring) Strong problem-solving ability and the capacity to work independently and within cross-functional teams Experience integrating APIs and third-party plug-ins Exposure to AI/ML concepts is a plus Preferred Background:- Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Electrical Engineering, or a related field 7–10 years of experience in medical device software development. Familiarity with cloud platforms and healthcare data pipelines is advantageous Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹75,000.00 per month Benefits: Cell phone reimbursement Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Application Question(s): Are you an immediate Joinee ? As of Now how many years of Experience do you have ? As of now How many projects you have been Developed ? Work Location: In person

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills. Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Required : 3-6 Years of technology Consulting experience A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid ) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of apply map, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets. You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300054

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills. Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Required : 3-6 Years of technology Consulting experience A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid ) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of apply map, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets. You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300054

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills. Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Required : 3-6 Years of technology Consulting experience A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid ) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of apply map, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets. You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300054

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills. Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Required : 3-6 Years of technology Consulting experience A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid ) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of apply map, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets. You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300054

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills. Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Required : 3-6 Years of technology Consulting experience A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid ) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of apply map, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets. You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300054

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills. Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Required : 3-6 Years of technology Consulting experience A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid ) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of apply map, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets. You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300054

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills. Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Required : 3-6 Years of technology Consulting experience A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid ) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of apply map, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets. You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300054

We are looking for Associate Division Manager for one of our Major Client .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.Functional Responsibilities :- 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.Qualification :- MTech / BE / BTech / MSc in CS Exp:- 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 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.Job type:- FTE Location:- Chennai Job Type: Contractual / Temporary Pay: ₹2,633,123.63 - ₹3,063,602.96 per year Schedule: Monday to Friday Education: Bachelor's (Preferred) Work Location: In person

Location: Remote | Commitment: Full-time Company Overview Insight Fusion Analytics turns complex data into actionable insight for clients across finance, retail, and professional sport. Our sports-analytics unit builds predictive systems that transform raw match, athlete, and biomechanical data into winning strategies. Role Summary We’re hiring a Lead Statistician with deep expertise in sports prediction to architect, validate, and continuously refine our forecasting engines. You’ll own the statistical core—from feature-engineering pipelines through probabilistic calibration—working with ML engineers and domain analysts to produce production-ready forecasts that thrive in real-world conditions. What You’ll Do Model Architecture & Validation – Design Bayesian and frequentist frameworks (hierarchical Elo, Poisson-Gamma, state-space models) and build leakage-proof cross-validation strategies. Feature Engineering & Experimental Design – Derive advanced spatio-temporal, biometric, and contextual features; run A/B and multivariate tests to quantify lift. Uncertainty Quantification – Produce calibrated predictive intervals, scenario simulations, and decision-theoretic metrics (Brier, CRPS, EVaR). Mentorship & Review – Set statistical standards, review code/notebooks, and mentor junior analysts. Stakeholder Communication – Translate complex statistical results into concise recommendations for coaches, product managers, and executives. Must-Have Qualifications 8+ years professional experience (or PhD + 5 years ) in applied statistics, econometrics, or quantitative social science. Documented track record building sports prediction systems. Expert proficiency with Python (NumPy, SciPy, Pandas, statsmodels, PyMC/Stan) and SQL; R a plus. Mastery of resampling methods, hierarchical models, time-series analysis, Monte-Carlo simulation, and causal inference. Proven success preventing data leakage and look-ahead bias in live pipelines. Strong communication skills for both technical and non-technical audiences. Nice-to-Have Familiarity with deep-learning frameworks (TensorFlow/PyTorch) for hybrid stat-ML architectures. Experience deploying models on AWS, GCP, or Azure using containerized workflows. Publications or conference talks in sports analytics (MIT Sloan, NESSIS, MathSport). How to Apply Send the following to insightfusionanalytics@gmail.com : CV highlighting sports-analytics projects and publications. Portfolio or repo links demonstrating end-to-end statistical modelling for sports prediction. A one-page brief describing your proudest predictive model: objective, methodology, error analysis, and business impact.

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

• Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production.

JOB DESCRIPTION We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Job Description AI engineer with Python experience developing applications powered by LLMs and integrating with data warehouse like GCP Big Query & other standard data sources. Responsibilities Design, develop, and maintain core functionalities and backend services using Python, focusing on AI and LLM integration. Integrate Large Language Models (LLMs) such as OpenAI, GPT, Llama, or others into applications to create intelligent, AI-powered features. Explore and apply LLM capabilities, including summarization, classification, RAG (Retrieval-Augmented Generation), prompt engineering, and prompt pipelines. Develop and implement efficient data processing pipelines for structured and unstructured data, ensuring data quality for AI models. Collaborate with cross-functional teams (e.g., product managers, data scientists, DevOps) to define, design, and ship new AI features and integrate LLMs effectively. Write clean, maintainable, well-tested, and well-documented Python code, adhering to best practices and coding standards. Ensure the reliability, performance, scalability, and security of AI/LLM-based applications, identifying and correcting bottlenecks. Conduct technical analysis of tasks, participate actively in scrum meetings, and deliver value committed for sprints. Stay up-to-date with the latest advancements in generative AI, LLM architectures, machine learning, and related technologies, sharing insights with the team. Participate in code reviews, contribute to technical improvements, and assist in troubleshooting and debugging issues. Qualifications Required Skills and Qualifications: 3+ years of proven experience in Python software development (Full stack or Backend), with a strong emphasis on backend development. Strong knowledge on Python data structures and algorithms Proficiency with Python and relevant libraries such as Pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Matplotlib etc. Solid understanding of machine learning concepts, algorithms. Experience with REST APIs and building scalable backend services. Familiarity with database technologies (e.g., PostgreSQL, MongoDB, SQL/NoSQL). Familiarity/experience with Cloud technologies(AWS, GCP, Azure etc.). Experience with version control systems, particularly Git. Strong problem-solving skills, analytical abilities, and attention to detail. Excellent communication and collaboration skills, with the ability to explain complex technical concepts clearly. Preferred Skills and Qualifications (Nice to Have): Hands-on experience with Large Language Models (LLMs) using RAG and their application in real-world scenarios. Familiarity with data quality and data governance concepts. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

AI engineer with Python experience developing applications powered by LLMs and integrating with data warehouse like GCP Big Query & other standard data sources. Required Skills and Qualifications: 3+ years of proven experience in Python software development (Full stack or Backend), with a strong emphasis on backend development. Strong knowledge on Python data structures and algorithms Proficiency with Python and relevant libraries such as Pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Matplotlib etc. Solid understanding of machine learning concepts, algorithms. Experience with REST APIs and building scalable backend services. Familiarity with database technologies (e.g., PostgreSQL, MongoDB, SQL/NoSQL). Familiarity/experience with Cloud technologies(AWS, GCP, Azure etc.). Experience with version control systems, particularly Git. Strong problem-solving skills, analytical abilities, and attention to detail. Excellent communication and collaboration skills, with the ability to explain complex technical concepts clearly. Preferred Skills and Qualifications (Nice to Have): Hands-on experience with Large Language Models (LLMs) using RAG and their application in real-world scenarios. Familiarity with data quality and data governance concepts. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field. Design, develop, and maintain core functionalities and backend services using Python, focusing on AI and LLM integration. Integrate Large Language Models (LLMs) such as OpenAI, GPT, Llama, or others into applications to create intelligent, AI-powered features. Explore and apply LLM capabilities, including summarization, classification, RAG (Retrieval-Augmented Generation), prompt engineering, and prompt pipelines. Develop and implement efficient data processing pipelines for structured and unstructured data, ensuring data quality for AI models. Collaborate with cross-functional teams (e.g., product managers, data scientists, DevOps) to define, design, and ship new AI features and integrate LLMs effectively. Write clean, maintainable, well-tested, and well-documented Python code, adhering to best practices and coding standards. Ensure the reliability, performance, scalability, and security of AI/LLM-based applications, identifying and correcting bottlenecks. Conduct technical analysis of tasks, participate actively in scrum meetings, and deliver value committed for sprints. Stay up-to-date with the latest advancements in generative AI, LLM architectures, machine learning, and related technologies, sharing insights with the team. Participate in code reviews, contribute to technical improvements, and assist in troubleshooting and debugging issues.

Job Objective To serve as the strategic communication link between Scipy Technologies, students, academic teams, media, and industry partners while actively managing placement activities and promoting the company's talent and services. The ideal candidate will be responsible for both public relations initiatives and building industry connections to facilitate successful student placements. Qualities and Responsibilities · Develop and implement PR strategies that showcase Scipy Technologies' academic services and client/project success storie. · Act as the communication bridge between academic teams, clients, media, and students. · Promote research, student activities, and product/service achievements across social and traditional media. · Promote Scipy Technologies talent pool through presentations, brochures, and digital platforms. · Handle media and public inquiries with professionalism and timeliness. · Stay updated on education sector trends and market dynamics to inform communication strategy · Build and maintain strong relationships with companies, recruiters, and industry stakeholders to secure internships and job placements for students. · Organize and manage campus recruitment drives, job fairs, and corporate interactions. · Coordinate with academic departments to align curriculum and student skills with industry expectations. · Assist students in resume building, interview preparation, and career counseling. · Maintain a robust database of students, employer contacts, placement records, and feedback. · Track and analyze industry trends to align training programs with job market demands. · Prepare placement reports, success metrics, and employer feedback summaries. Skills & Qualifications · Bachelors/Masters degree in Public Relations, HR, Communication, or related field. · 3-8 years of experience in PR, placement coordination, or similar roles. · Excellent interpersonal, written, and verbal communication skills. · Strong organizational and networking abilities. · Proficiency in digital media tools, MS Office, and online recruitment platforms. Job Type: Full-time Benefits: Health insurance Paid sick time Work from home Schedule: Day shift Supplemental Pay: Commission pay Yearly bonus Work Location: In person

Description- Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional Data Scientists who are ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process- To ensure high-quality contributions and meaningful engagement, the community follows a structured onboarding process: Screening - Review applicants based on 10+ years of experience, expertise in Python, ML techniques, deep learning frameworks, and end-to-end model deployment Technical Assessment - Evaluate through problem-solving exercises, real-world use case discussions, ML optimization challenges, or code review Interview & Alignment - Conduct a conversation to assess collaboration mindset, innovation potential, and contribution to community goals Ready to Join the Revolution? Become part of Xenon7's Elite Data Science Community, where your skills are respected, your time is valued, and your work creates real-world change. Requirements Who Are We Looking For- Data Scientists are the architects of insight, the minds behind machine learning, the storytellers of numbers. They turn complex datasets into business-driving decisions using statistics, algorithms, machine learning, and engineering to discover hidden patterns, automate systems, and unlock value. At Xenon7, our Data Scientists don't just analyze data- they lead innovation. We're building a handpicked community of impact-driven Data Science professionals who are: 10+ years experienced in Data Science or Machine Learning roles Skilled in Python and tools like NumPy, SciPy, Pandas, XGBoost Experts in ML techniques: regression, classification, clustering Proficient with deep learning frameworks (TensorFlow, Keras, PyTorch) Strong in data pipelines, ETL/ELT processes, and large-scale datasets Experienced in mentoring or leading data teams Passionate about solving real business challenges through data Preferred (but not mandatory): A PhD in a relevant field will be an added advantage Benefits Why You Should Join Us- We're building a trust-based, expert-driven collective where we bring the projects and you bring the expertise. No spam, no endless listings. Just curated, high-impact projects that match your skillset and ambition We understand the value of your time, expertise, and independence. You're a strategic partner in solving real business challenges Work with leading healthcare enterprises, innovative startups, and digital disruptors. We connect you to projects where your contribution truly matters Get paid in USD, with clear, timely, and reliable payment structures, so you focus on delivering impact, not chasing invoices Pick the projects that align with your interests and availability. No long-term lock-ins, no pressure, you work when and how it suits you Join global teams and collaborate remotely with the best minds across industries, all from the comfort of your chosen workspace Engage with a community of top-tier professionals. Exchange knowledge, share ideas, and grow with every collaboration

Develop and optimize HPC applications using MPI, OpenMP, CUDA, and cloud platforms; collaborate across R&D teams. Required Candidate profile Experienced in scientific computing, parallel programming, performance engineering and software design.

JOB DESCRIPTION:- Urgently Hiring !!! Medical Signal Processing Software Engineer Location: Chennai, India Job Type: Full-Time Experience Level: 7–10 years We are seeking an experienced Medical Signal Processing Software Engineer to join our team in Chennai. In this role, you will develop robust pipelines to process biomedical signals, decode proprietary file formats, and contribute to the integration of clinical systems and analytics platforms. This is a hands-on engineering role ideal for someone with a deep understanding of physiological signal data and a passion for building scalable, high-performance tools for medical applications. Key Responsibilities:- Design and develop software solutions for biomedical signal processing using Python, C/C++, or Java Reverse-engineer and decode proprietary binary files from medical monitoring devices Work with diverse data encoding formats including IEEE floating point, PCM, and BCD Build and optimize signal processing algorithms using libraries such as NumPy, SciPy, wfdb, BioSPPy, and neurokit2 Collaborate with MATLAB-based research teams for algorithm development and integration Convert and standardize physiological waveform data across formats such as SCP, EDF+, HL7 aECG, DICOM waveform, and MIT-BIH Analyze long-duration cardiac monitoring recordings, including signal segmentation and annotation Utilize tools like PhysioNet WFDB Toolkit and OpenECG Tools for efficient signal file handling Inspect and manipulate binary data using hex editors and Python modules like struct and bitstring Document processing workflows, file formats, and code for maintainability and compliance Integrate third-party APIs and plug-ins into medical signal processing pipelines. Qualifications & Skills:- Proficiency in Python; experience with C/C++ or Java is highly desirable Proven expertise in reverse-engineering binary data formats Strong understanding of biomedical data standards, especially those used in cardiac monitoring Solid background in signal processing using Python and MATLAB Familiarity with binary inspection tools (e.g., HxD, 010 Editor) and relevant Python libraries (struct, bitstring) Strong problem-solving ability and the capacity to work independently and within cross-functional teams Experience integrating APIs and third-party plug-ins Exposure to AI/ML concepts is a plus. Preferred Background:- Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Electrical Engineering, or a related field 7–10 years of experience in medical device software development. Familiarity with cloud platforms and healthcare data pipelines is advantageous Job Types: Full-time, Permanent Pay: ₹45,000.00 - ₹75,000.00 per month Benefits: Cell phone reimbursement Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Application Question(s): How Many Years of Experience do you have in Medical Signal Processing Software Engineer ? Are you an Immediate Joinee ? Do you have Experience in Medical Device Software Development ? Work Location: In person

Title: Senior Data Scientist Years of Experience : 8+ years Location : Onsite (The selected candidate is required to relocate to Kovilpatti, Tamil Nadu, for the initial three-month project training session . Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune , based on project allocation.) Job Description The Senior Data Scientist will lead the development and implementation of advanced analytics and AI/ML models to solve complex business problems. This role requires deep statistical expertise, hands-on model building experience, and the ability to translate raw data into strategic insights. The candidate will collaborate with business stakeholders, data engineers, and AI engineers to deploy production-grade models that drive innovation and value. Key responsibilities · Lead end-to-end model lifecycle: data exploration, feature engineering, model training, validation, deployment, and monitoring · Develop predictive models, recommendation systems, anomaly detection, NLP models, and generative AI applications · Conduct statistical analysis and hypothesis testing for business experimentation · Optimize model performance using hyperparameter tuning, ensemble methods, and explainable AI (XAI) · Collaborate with data engineering teams to improve data pipelines and quality · Document methodologies, build reusable ML components, and publish technical artifacts · Mentor junior data scientists and contribute to CoE-wide model governance Technical Skills ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost Statistical tools: Python (NumPy, Pandas, SciPy), R, SAS NLP & LLMs: Hugging Face Transformers, GPT APIs, BERT, LangChain Model deployment: MLflow, Docker, Azure ML, AWS Sagemaker Data visualization: Power BI, Tableau, Plotly, Seaborn SQL and NoSQL (CosmosDB, MongoDB) Git, CI/CD tools, and model monitoring platforms Qualification Master’s in Data Science, Statistics, Mathematics, or Computer Science Microsoft Certified: Azure Data Scientist Associate or equivalent Proven success in delivering production-ready ML models with measurable business impact Publications or patents in AI/ML will be considered a strong advantage. Job Type: Full-time Pay: Up to ₹80,000.00 per month Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in annual (INR)? Experience: Data Scientist: 8 years (Required) License/Certification: Azure Data Scientist Associate (Required) Work Location: In person

Title: Senior Data Scientist Years of Experience : 8+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description The Senior Data Scientist will lead the development and implementation of advanced analytics and AI/ML models to solve complex business problems. This role requires deep statistical expertise, hands-on model building experience, and the ability to translate raw data into strategic insights. The candidate will collaborate with business stakeholders, data engineers, and AI engineers to deploy production-grade models that drive innovation and value. Key responsibilities Lead end-to-end model lifecycle: data exploration, feature engineering, model training, validation, deployment, and monitoring Develop predictive models, recommendation systems, anomaly detection, NLP models, and generative AI applications Conduct statistical analysis and hypothesis testing for business experimentation Optimize model performance using hyperparameter tuning, ensemble methods, and explainable AI (XAI) Collaborate with data engineering teams to improve data pipelines and quality Document methodologies, build reusable ML components, and publish technical artifacts Mentor junior data scientists and contribute to CoE-wide model governance Technical Skills ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost Statistical tools: Python (NumPy, Pandas, SciPy), R, SAS NLP & LLMs: Hugging Face Transformers, GPT APIs, BERT, LangChain Model deployment: MLflow, Docker, Azure ML, AWS Sagemaker Data visualization: Power BI, Tableau, Plotly, Seaborn SQL and NoSQL (CosmosDB, MongoDB) Git, CI/CD tools, and model monitoring platforms Qualification Master’s in Data Science, Statistics, Mathematics, or Computer Science Microsoft Certified: Azure Data Scientist Associate or equivalent Proven success in delivering production-ready ML models with measurable business impact Publications or patents in AI/ML will be considered a strong advantage. Job Type: Full-time Pay: Up to ₹80,000.00 per month Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected salary in annual (INR)? Experience: Data Scientist: 8 years (Required) License/Certification: Azure Data Scientist Associate (Required) Work Location: In person