497 Scipy Jobs - Page 10

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

Should be having 6 to 8 years of industry experience. Strong with libraries like Pandas, Numpy, Scipy etc. OR should have good exposure on file handling in Python Strong querying data from database(i.e. oracle etc.) using database query language like SQL, MYSQL Strong basic python concepts (like list, tuple, dictionary etc. ) and Object orient programming in Python (like classes etc.) Should have knowledge of at least one python framework (like flask etc.) Experience with Linux/Unix environment along with knowledge of basic Linux commands (i.e cut, sort, uniq etc.) Mandatory Competencies Python - Numpy Python - Panda Python - Python UI - Angular 2+ Others - Micro services Java - Core JAVA Database - SQL Database - MySQL Java - Unix Java - Linux Beh - Communication and collaboration

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Data Engineer at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role As an Apprentice- Data Ops Engineer, you will be an integral part of our Data Engineering team, working towards transforming and analyzing healthcare data to contribute to the enhancement of population health and the reduction of healthcare costs. This role offers a unique opportunity for a self starter with a passion for data engineering to learn and grow within a dynamic and innovative environment. A Day in the Life Collaborate with the data services team to manipulate and transform healthcare data effectively. Assist in the creation of analytical reports tailored for US health care customers. Contribute to the design and development of interfaces facilitating workflows between the Data Activation Platform and third-party client systems. Follow industry best practices and standards while defining and documenting best practices and message specifications. Monitor and optimize interface configurations for high availability once deployed in production environments. Gain an understanding of data warehousing concepts and implement best practices and supporting database performance tuning, indexing, and query optimization. What You Need B.E/B.Tech/M.Tech in computer science or related field of batch2019,2020,2021,2022,2023 or 2024only. Must be available for apprenticeship tenure of minimum 1 year. Basic understanding of data modeling concepts. Exposure to SQL and the ability to write simple queries. Eagerness to learn and work with Python libraries,such as Numpy,Scipy,Scikit-Learn. Interest in BI tools like Power BI,Tableau,or Sisense. Strong analytical and problem-solving skills. Excellent oral and written communication skills. Enthusiasm for multitasking and managing multiple tasks simultaneously. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of upto 40days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness,disease or injury. Pet-Friendly Office*: Spend more time with your treasured friends,even when you're away from home.Bring your furry friends with you to the office and let your colleagues become their friends too.*Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first.*India offices. Where and how we work Our Noida office is situated in a posh tech space, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual-orientation, national origin, genetics, disability, age, marital status or veteran status, feel valued and empowered.

About The Role This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing ‘The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves. What You Will Do Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights Build user query understanding and intent refinement models to refine query to content similarity Build and incorporate LLMs in addition to vector search capabilities Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions Collaborate with engineering and product teams to launch MVPs and iterate quickly Independently plan and drive data science projects that deliver clear business value What You Will Need 6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred Demonstrated ability to translate quantitative analysis into actionable business strategies. Strong communication skills in technical and business domains Working experience in some of the following data science areas: Machine Learning and Predictive modeling Text mining and Natural Language Processing Search or Recommendation systems Data analytics with multi-dimensional data Generative models Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies Ability to implement latest ML research to improve our current algorithms Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Experience with cloud computing services such as AWS or Azure ML Ability to work collaboratively across product, data science and technical stakeholders Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone Bias for action and client outcome oriented Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:100434 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

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

We are looking for a skilled Senior Azure Data Engineer with 5 to 10 years of experience to design and implement scalable data pipelines using Azure technologies, driving data transformation, analytics, and machine learning. The ideal candidate will have a strong background in data engineering and proficiency in Python, PySpark, and Spark Pools. Roles and Responsibility Design and implement scalable Databricks data pipelines using PySpark. Transform raw data into actionable insights through data analysis and machine learning. Build, deploy, and maintain machine learning models using MLlib or TensorFlow. Optimize cloud data integration from Azure Blob Storage, Data Lake, and SQL/NoSQL sources. Execute large-scale data processing using Spark Pools and fine-tune configurations for efficiency. Collaborate with cross-functional teams to identify business requirements and develop solutions. Job Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Minimum 5 years of experience in data engineering, with at least 3 years specializing in Azure Databricks, PySpark, and Spark Pools. Proficiency in Python, PySpark, Pandas, NumPy, SciPy, Spark SQL, DataFrames, RDDs, Delta Lake, Databricks Notebooks, and MLflow. Hands-on experience with Azure Data Lake, Blob Storage, Synapse Analytics, and other relevant technologies. Strong understanding of data modeling, data warehousing, and ETL processes. Experience with agile development methodologies and version control systems.

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

Job Description In This Role, Your Responsibilities Will Be: Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems. Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources. Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions. Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement. Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs. Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed. Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage. Develop and implement best practices in data management, data modeling, code, and data quality assurance. Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations. Who You are: You take initiatives and doesn’t wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge optimally. Clearly convey ideas and actively listen to others to complete assigned task as planned For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas. Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies. Strong programming skills in Python is a must. Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques. Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash. Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights. Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences. Preferred Qualifications that Set You Apart: Possession of relevant certification/s in data science from reputed universities specializing in AI. Prior experience in engineering would be nice to have. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Software Engineer II Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete simple bug fixes. Work closely with other development team members to understand product requirements and translate them into software designs. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve technical issues as necessary. Keep abreast of new technological developments. All other duties as assigned. Requirements 2+ years of experience as a Python Developer Working knowledge of API integration In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, FAST API, Django, etc. Experience with popular Python frameworks such as Django, Flask, or Fast API. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Knowledge of AWS , DOCKER, LAMBDA Functions Strong communication and collaboration skills including the ability to co-operate with multiple parties and align on priorities Knowledge Agile Methodology Ability to work with simple data models. Familiarity of industry best practices — code coverage. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About the Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Software Engineer II Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete simple bug fixes. Work closely with other development team members to understand product requirements and translate them into software designs. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve technical issues as necessary. Keep abreast of new technological developments. All other duties as assigned. Requirements 2+ years of experience as a Python Developer Working knowledge of API integration In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, FAST API, Django, etc. Experience with popular Python frameworks such as Django, Flask, or Fast API. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Knowledge of AWS , DOCKER, LAMBDA Functions Strong communication and collaboration skills including the ability to co-operate with multiple parties and align on priorities Knowledge Agile Methodology Ability to work with simple data models. Familiarity of industry best practices — code coverage. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About the Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Data Engineer at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we're shaping the future and making a meaningful impact on the world. About The Role As an Apprentice- Data Ops Engineer, you will be an integral part of our Data Engineering team, working towards transforming and analyzing healthcare data to contribute to the enhancement of population health and the reduction of healthcare costs. This role offers a unique opportunity for a self starter with a passion for data engineering to learn and grow within a dynamic and innovative environment. A Day in the Life Collaborate with the data services team to manipulate and transform healthcare data effectively Assist in the creation of analytical reports tailored for US health care customers Contribute to the design and development of interfaces facilitating workflows between the Data Activation Platform and third-party client systems. Follow industry best practices and standards while defining and documenting best practices and message specifications. Monitor and optimize interface configurations for high availability once deployed in production environments Gain an understanding of data warehousing concepts and implement best practices and supporting database performance tuning, indexing, and query optimization What You Need B.E/B.Tech/M.Tech in computer science or related field of batch2019,2020,2021,2022,2023 or 2024only Must be available for apprenticeship tenure of minimum 1 year Basic understanding of data modeling concepts Exposure to SQL and the ability to write simple queries Eagerness to learn and work with Python libraries,such as Numpy,Scipy,Scikit-Learn Interest in BI tools like Power BI,Tableau,or Sisense Strong analytical and problem-solving skills Excellent oral and written communication skills Enthusiasm for multitasking and managing multiple tasks simultaneously Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of upto 40days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness,disease or injury. Pet-Friendly Office*: Spend more time with your treasured friends,even when you're away from home.Bring your furry friends with you to the office and let your colleagues become their friends too.*Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first.*India offices. Where And How We Work Our Noida office is situated in a posh tech space, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual-orientation, national origin, genetics, disability, age, marital status or veteran status, feel valued and empowered.

Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About Our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About The Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete simple bug fixes. Work closely with other development team members to understand product requirements and translate them into software designs. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve technical issues as necessary. Keep abreast of new technological developments. All other duties as assigned. Requirements 2+ years of experience as a Python Developer Working knowledge of API integration In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, FAST API, Django, etc. Experience with popular Python frameworks such as Django, Flask, or Fast API. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Knowledge of AWS , DOCKER, LAMBDA Functions Strong communication and collaboration skills including the ability to co-operate with multiple parties and align on priorities Knowledge Agile Methodology Ability to work with simple data models. Familiarity of industry best practices — code coverage. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you Benefits We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About The Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

- 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. Amazon Music Search team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web. Key job responsibilities Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes Design, development and evaluation of highly innovative models for predictive learning Work closely with software engineering teams to drive model implementations and new feature creations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Research and implement novel machine learning and statistical approaches A day in the life Imagine being part of an agile team where your ideas have the potential to reach millions. Picture working on highly impactful consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are looking for a Business Intelligence Analyst who can organize and analyze data from various sources and create reports and metrics. He should be able to both deeply analyze data and succinctly explain metrics and insights from it to different stakeholders. As a BI Analyst, you will be responsible for managing various data and metrics crucial to our business operations, including company sales and revenues, customer-level metrics, and product usage metrics. Additionally, you will collaborate with finance teams, assisting in tasks such as invoicing and cash flow management. This role also involves close collaboration with product and operations teams to analyze product metrics and enhance overall product performance. Responsibilities Manage and analyze company sales, revenues, profits, and other KPIs. Analyse photographer-level metrics, e. g. sales, average basket, conversion rate, and growth. Analyse product usage data and collaborate with the product team to improve product adoption and performance. Perform ad-hoc analysis to support various business initiatives. Assist the finance team in invoicing, cash flow management, and revenue forecasting. Requirements Expert-level proficiency in Excel. Familiarity with one or more data visualization and exploration tools, e. g. Tableau, Kibana, Grafana, etc. Strong analytical and problem-solving skills. Comfortable with analyzing large amounts of data and finding patterns and anomalies. Excellent communication and collaboration abilities. Experience in SQL for data querying and manipulation. Experience in Python for data analysis, e. g. pandas, numpy, scipy, matplotlib, etc. Familiarity with statistical analysis techniques. Experience with basic accounting, e. g. balance sheet, P, and L statements, double-entry accounting, etc. Experience Required: 4- 7 years. This job was posted by Anupriya Shrivastava from Pixfirst.

We are seeking a Senior Python Developer with 3-4 years of experience and a strong understanding of stock market dynamics, technical indicators, and trading systems. You'll take ownership of backtesting frameworks, strategy optimization, and developing high-performance, production-ready trading modules. The ideal candidate is someone who can think critically about trading logic, handle edge cases with precision, and write clean, scalable, and testable code. You should be comfortable working in a fast-paced, data-intensive environment where accuracy and speed are key. Responsibilities Design and maintain robust backtesting and live trading frameworks. Build modules for strategy development, simulation, and optimization. Integrate with real-time and historical market data sources (e. g., APIs, databases). Use libraries like Pandas, NumPy, TA-Lib, Matplotlib, SciPy, etc., for data processing and signal generation. Apply statistical methods to validate strategies (mean, regression, correlation, standard deviation, etc. ). Optimize code for low-latency execution and memory efficiency. Collaborate with traders and quants to implement and iterate on ideas. Use Git and manage codebases with best practices (unit testing, modular design, etc. ). Requirements 3-4 years of Python development experience, especially in data-intensive environments. Strong understanding of algorithms, data structures, and performance optimization. Hands-on with technical indicators, trading strategy design, and data visualization. Proficient with Pandas, NumPy, Matplotlib, SciPy, TA-Lib, etc. Strong SQL skills and experience working with structured and time-series data. Exposure to REST APIs, data ingestion pipelines, and message queues (e. g., Kafka, RabbitMQ) is a plus. Experience in version control systems (Git) and collaborative development workflows. Preferred Experience Hands-on experience with trading platforms or algorithmic trading systems. Familiarity with order management systems (OMS), execution logic, or market microstructure. Prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes. Knowledge of machine learning or reinforcement learning in financial contexts is a bonus. This job was posted by Human Resource from Codeline Tech.

Requirements Degree or equivalent in a statistical or mathematical subject. Good understanding of statistics and mathematical methodologies used - especially forecasting, regression, linear models, time series, hypothesis tests, and optimisation. Ability to prototype solutions using Python and Spark to facilitate the development and testing of algorithms on large data sets. Good understanding of machine learning techniques, with applications to classification, prediction, and clustering. Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects. Good working knowledge of databases, including SQL, relational, and non-relational data models. Experience of using the following algorithms at scale: ANOVA, linear models with regularization, clustering, random forests, xgboost. Research the latest machine learning approaches. Good grasp of Object-Oriented Programming, Stakeholder Management. Ability to quickly learn open-source statistics and machine learning packages - Pandas, SciPy, Scikit - learning, Tensorflow. Experience in developing solutions related to Market Mix Modelling, Causal AI, and Generative AI. Experience with large language models (LLMs) and transformers. This job was posted by Kalaiyarasi Satheeshkumar from Celsior Technologies.

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities: Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of 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 and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

MavenMagnet is an AI-based data analytics company transforming insights generation by delivering in-depth analysis and discovery with significant time and cost efficiency as compared to traditional alternatives. We use thousands of digitally-sourced data points - news, blogs, forums, communities, chat rooms, product reviews, social networks, POS, product sales & support, and proprietary client datasets - to provide our clients a seamless strategic perspective by delivering qualitative insights on a quantitative scale, while eliminating respondent bias and research fatigue. A rich combination of AI and machine learning technology and strategic human expertise helps us deliver actionable insights in near real-time. We are looking for a creative Data Scientist to join our team! An extremely important role for our success. As a member of the development team, your responsibilities will include transfer learning and training LLMs. Ideal candidates will have a strong data science background and can help us build/fine-tune in-house LLMs. You'll have the opportunity to work with large-scale data sets and turn your insights into real products. You'll be an integral part in how we understand user behavior, identify and recommend product opportunities, which are all critical to how we can scale our ever-growing user base. Responsibilities : Modifies and analyzes complex data sets using analytics techniques such as machine learning, statistical analysis, Natural Language Processing, identifing modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables. Investigates data characteristics, complexity, quality, and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers, and drivers. Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data. Fine-tune LLM for NLP, multi-labeling, image detection, emotion detection, etc. Required Skills : 5+ years of industry experience in data science developing ML Models for NLP . 2+ years of experience in fine-tuning and training LLM. Experience of building NLP Models for Topic Modeling, Multi-labeling data science solutions. Experience in relevant programming languages (e.g. Python) Experience within the Python Data Science ecosystem - NumPy, SciPy, Jupyter, etc. Experience in AWS cloud. Developing and deploying applications in the cloud. MS in Data Science Past experience with startups and a fast-paced environment is an added advantage. Provide a link to a Github that showcases your work. Preferred Requirements: MS in Data Science from IIT/NIT Experience building deep neural networks to production. Experience in AWS, Google cloud, Azure. Experience with large volume data processing systems. Experience with Agile software development. Good knowledge of Database technologies such as SQL, PL/SQL and relational database schema design. Here’s what we’ll set you up with: A team that is invested in your career growth and training Competitive salary and equity, based on experience Best-in-class health insurance, including dental and vision coverage. Work alongside world-class talent Flexible vacation / paid time off policy Personal style encouraged We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI/ML Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Collaborate with business stakeholders, product teams, and technology teams to finalize software solutions aligned with strategic goals. Architect, design, and develop AI products for the core AI and Machine Learning team using generative AI, natural language processing, and other AI-ML technologies. Work alongside software developers and data scientists, and collaborate with product and development teams. Establish timelines for product features and communicate them to business stakeholders. Conduct data modeling for AI software solutions, determine data persistence strategies, and create data pipelines. Set coding standards for code repositories and perform code reviews. Oversee product deployments on public and private clouds, ensuring server costs are managed through monitoring and tuning Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Extensive hands-on experience in system design, application development, testing, operational stability, and Agile SDLC. Proficiency in Python, Java, and JavaScript. Skilled in technologies such as FastAPI, Spring, Agent Building tools, and LLMs. Expertise in automation and continuous delivery methods, with a strong understanding of agile methodologies like CI/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within disciplines like cloud, AI, ML, and mobile. In-depth knowledge of the financial services industry and IT systems, with experience in microservice design patterns, data structures, algorithms, and cloud services such as AWS, Terraform and ability to work in a global setup and interact with clients Preferred Qualifications, Capabilities, And Skills Exposure to python libraries such as pandas, scipy and numpy Exposure to python concurrency through python multiprocessing would be advantageous. Exposure to grid computing concepts would be advantageous. ABOUT US

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI/ML Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Collaborate with business stakeholders, product teams, and technology teams to finalize software solutions aligned with strategic goals. Architect, design, and develop AI products for the core AI and Machine Learning team using generative AI, natural language processing, and other AI-ML technologies. Work alongside software developers and data scientists, and collaborate with product and development teams. Establish timelines for product features and communicate them to business stakeholders. Conduct data modeling for AI software solutions, determine data persistence strategies, and create data pipelines. Set coding standards for code repositories and perform code reviews. Oversee product deployments on public and private clouds, ensuring server costs are managed through monitoring and tuning Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Extensive hands-on experience in system design, application development, testing, operational stability, and Agile SDLC. Advanced proficiency in Python, Java, and JavaScript. Skilled in technologies such as FastAPI, Spring, Agent Building tools, and LLMs. Expertise in automation and continuous delivery methods, with a strong understanding of agile methodologies like CI/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within disciplines like cloud, AI, ML, and mobile. In-depth knowledge of the financial services industry and IT systems, with experience in microservice design patterns, data structures, algorithms, and cloud services such as AWS, Terraform and ability to work in a global setup and interact with clients Preferred Qualifications, Capabilities, And Skills Exposure to python libraries such as pandas, scipy and numpy Exposure to python concurrency through python multiprocessing would be advantageous. Exposure to grid computing concepts would be advantageous. Knowledge of the financial services industry and their IT systems

Role & responsibilities Develop and maintain high-quality, reusable, and efficient Python code. Build robust and scalable web applications and APIs using frameworks such as Django, Flask, or FastAPI. Design and implement database solutions, ensuring data integrity and performance. Integrate with third-party APIs, services, and tools. Participate in code reviews, unit testing, and performance tuning. Work collaboratively with DevOps, front-end developers, QA engineers, and product managers. Troubleshoot and debug applications and identify performance bottlenecks. Ensure adherence to coding standards, security best practices, and documentation. Bachelors or Masters degree in Computer Science, Information Technology, or related field. Minimum 3+ years of professional experience in Python programming. Strong understanding of Object-Oriented Programming (OOP), design patterns, and software architecture. Hands-on experience with one or more Python web frameworks (Django, Flask, FastAPI). Solid knowledge of RESTful API design and implementation. Experience working with relational databases (e.g., PostgreSQL, MySQL) and ORM tools. Familiarity with Git and version control workflows. Experience working in Agile/Scrum development environments. Strong problem-solving skills and attention to detail Preferred candidate profile Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of containerization technologies (Docker, Kubernetes). Exposure to CI/CD tools and DevOps practices. Familiarity with front-end technologies (JavaScript, React, HTML/CSS) is a plus. Understanding of microservices architecture and API gateways. Experience with automated testing frameworks (PyTest, unittest).

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Machine Learning Scientist The Machine Learning Scientist is critical to the AI Core team by creating AI models from the ground up and steering model development through every stage, leading to the fulfilment of the research objective. Responsibilities: Experiment with advanced architectures like CNNs, RNNs, transformers, autoencoders etc. appropriate for the research objective Develop training strategies (e.g., self-supervised learning, few-shot learning) - Optimize loss functions and metrics for performance, manage hyperparameter tuning - Optimize training pipelines and debug training failures - Develop reproducible training/evaluation pipelines. Skills: Expertise in PyTorch/TensorFlow or other frameworks Strong Python skills (NumPy, SciPy, scikit-learn) and GPU acceleration (CUDA, cuDNN) Experience with ML experiment tracking (W&B, MLflow etc.) Experience with RL frameworks (Stable Baselines3, Ray RLlib) Passion: Building AI agents with superior capabilities Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, or a related technical field. 8+ years of experience in machine learning and deep learning Prior roles within AI research teams Background in chemometrics, spectroscopy, or analytical chemistry, desirable Advantage: Networks involving very large matrix operations About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI/ML Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Collaborate with business stakeholders, product teams, and technology teams to finalize software solutions aligned with strategic goals. Architect, design, and develop AI products for the core AI and Machine Learning team using generative AI, natural language processing, and other AI-ML technologies. Work alongside software developers and data scientists, and collaborate with product and development teams. Establish timelines for product features and communicate them to business stakeholders. Conduct data modeling for AI software solutions, determine data persistence strategies, and create data pipelines. Set coding standards for code repositories and perform code reviews. Oversee product deployments on public and private clouds, ensuring server costs are managed through monitoring and tuning Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Extensive hands-on experience in system design, application development, testing, operational stability, and Agile SDLC. Proficiency in Python, Java, and JavaScript. Skilled in technologies such as FastAPI, Spring, Agent Building tools, and LLMs. Expertise in automation and continuous delivery methods, with a strong understanding of agile methodologies like CI/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within disciplines like cloud, AI, ML, and mobile. In-depth knowledge of the financial services industry and IT systems, with experience in microservice design patterns, data structures, algorithms, and cloud services such as AWS, Terraform and ability to work in a global setup and interact with clients Preferred qualifications, capabilities, and skills Exposure to python libraries such as pandas, scipy and numpy Exposure to python concurrency through python multiprocessing would be advantageous. Exposure to grid computing concepts would be advantageous.