497 Scipy Jobs - Page 15

Summary Position Summary Strategy & Analytics 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. Together with the Strategy practice, our Strategy & Analytics 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 - Sr. Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . 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. Qualifications Required: 6-9 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA 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 applymap , 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 G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill 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. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. 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. 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. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300058 Show more Show less

About Skyroot Aerospace A cutting-edge startup founded by ex-ISRO scientists. Dedicated to affordable space access, we're rewriting aerospace technology rules. Our dynamic team fosters inventiveness, collaboration, and relentless excellence. Join us on a transformative journey to redefine space possibilities. Welcome to the forefront of space innovation with Skyroot Aerospace! Job Summary We are seeking a skilled and motivated RF Signal Processing Engineer with 3–4 years of hands-on experience in developing, simulating, and implementing algorithms for RF and communication systems. The ideal candidate will have a solid understanding of RF principles, digital signal processing (DSP), and practical experience with tools like MATLAB, Python, and SDR hardware platforms. Key Responsibilities: Design and implement signal processing algorithms for RF front-ends, receivers, and transmitters. Simulate and analyze RF signals and communication protocols (e.g., QPSK, OFDM, CDMA). Work on signal acquisition, filtering, detection, demodulation, and decoding techniques. Support system integration with hardware platforms including Software Defined Radios (SDRs). Perform RF measurements, lab testing, and validation of developed signal processing blocks. Develop and implement advanced radar signal processing algorithms including pulse compression, Doppler processing, CFAR detection, and tracking filters. Design and simulate radar waveforms for various applications such as SAR (Synthetic Aperture Radar), MTI (Moving Target Indicator), and FMCW radar systems. Analyze radar system performance and signal integrity under various noise, jamming, and multipath conditions. Optimize real-time signal processing pipelines using embedded platforms (DSPs, FPGAs, or GPUs). Collaborate with cross-functional teams including RF design, embedded systems, and firmware. Prepare technical documentation, reports, and presentations. Required Skills & Qualifications: B.E./B.Tech or M.E./M.Tech in Electronics, Communication, or a related field. 3–4 years of experience in RF systems and digital signal processing. Strong foundation in RF propagation, antenna theory, and communication systems. Proficient in MATLAB/Simulink, Python (NumPy/SciPy), and C/C++ for DSP implementations. Experience with SDR platforms such as USRP, HackRF, or similar. Knowledge of modulation/demodulation, FFT, filtering, error correction codes, etc. Familiarity with RF test equipment: spectrum analyzers, signal generators, VNA. Preferred Qualifications: Experience with GNURadio, LabVIEW, or FPGA-based signal processing. Background in radar signal processing or satellite communication systems. Familiarity with DO-254/DO-160 or similar aerospace standards (for aerospace/defense roles). Soft Skills: Strong analytical and problem-solving skills. Good communication and teamwork abilities. Willingness to learn and adapt to emerging technologies. Perks & Benefits: We provide Seamless Transportation, Nourishing Meals and Elevated Well-Being because everyone Deserves a Smooth Ride to Success! We also welcome women with career gaps and applicants from non-aerospace or defence sectors who can bring valuable skills and experiences to our team. Show more Show less

Senior Python Developer (Financial Services) Minimum experience level required 10 years Skill: Python, NumPy, Pandas, SciPy, Django/Flask, asyncio, SQL Server, PostgreSQL, MongoDB, Cassandra, Kafka, RabbitMQ Level: SSE (Sr. Software Engg) Location: Remote currently (Pune & Mumbai for new projects.) We are looking for candidates who can relocate to Mumbai or Pune later o n. Required Skills & Experience: 10+ years of professional software development experience, with a significant focus on Python. Demonstrable experience within the financial services industry Expert-level proficiency in Python and its ecosystem (e.g., NumPy, Pandas, SciPy, Django/Flask, asyncio). Strong understanding of data structures, algorithms, and object-oriented design principles. Proven experience with relational and/or NoSQL databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra). Experience with real-time data processing and messaging systems (e.g., Kafka, RabbitMQ). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Proficiency with version control systems (Git) and CI/CD pipelines. Exceptional problem-solving abilities and a keen analytical mind. Demonstrated ability to learn new technologies and financial concepts rapidly and independently. Strong communication skills (written and verbal) with the ability to articulate complex technical concepts to both technical and non-technical audiences. Proactive, self-motivated, and able to work effectively in a fast-paced, dynamic environment. Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field. Show more Show less

Role: Senior Analyst - Data Engineering Experience: 3 to 6 years Location: Bengaluru, Karnataka , India (BLR) Job Descrition: We are seeking a highly experienced and skilled Senior Data Engineer to join our dynamic team. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Job Resonsbilities: Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc. Databases: Snowflake, Teradata, SQL, NoSQL databases. Programming Languages: Python (essential), R, SQL. Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data Processing: ETL processes, data warehousing, data lakes. Cloud Platforms: AWS, Azure, Google Cloud Platform. Big Data Technologies: Apache Spark, Hadoop. Job Snapshot Updated Date 11-06-2025 Job ID J_3679 Location Bengaluru, Karnataka, India Experience 3 - 6 Years Employee Type Permanent

Salary - 10 to 25 LPA Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

Job Description The 55ip Quant team is looking for a quantitative professional to research, implement, test, and maintain the core algorithms of its technology-enabled investment platform for large investment advisory (RIA) & wealth management firms As a Research Analyst at JP Morn Chase within the Asset and Wealth Management and the 55ip Quant team, you will have the opportunity to research, implement, test, and maintain the core algorithms of our technology-enabled investment platform for large investment advisory (RIA) & wealth management firms. If you have a background in statistical modules using software design constructs and tools, are motivated, a problem solver, and an effective team player looking to make a significant impact in supporting research projects, this role could be a perfect fit for you. This position offers the chance to grow as an independent researcher. Job Responsibilities Involve in end-to-end research, development, and maintenance of investment algorithms Contribute to development and maintenance of optimization models, take part in building out the research and development framework Thoroughly vet investment algorithmic results and contribute to the research data platform design Investigate datasets for use in new or existing algorithms, participate in agile practices and liaise with stakeholders to gather & understand the functional requirements Take part in research & code reviews , develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live Support research innovation through the creative and thorough experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methods Collaborate with technology teams to ensure appropriate requirements, standards, and integration Required Qualifications, Capabilities, And Skills Experience in a quantitative role Proficient in Python, Git and Jira Master’s degree in computer science, computational mathematics, or financial engineering Excellent mathematical foundation and hands-on experience working in the finance industry Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc. Strong communication (written and oral) and analytical problem-solving skills Strong sense of attention to detail, pride in delivering high quality work and willingness to learn An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.) Knowledgeable in SQL Preferred Qualifications, Capabilities, And Skills Professional experience with commercial optimizers (Gurobi, CPLEX) is a big plus Able to shift gears and react quickly to timely requests Self-motivated, proactive, responsive-ability to think strategically but also willing to dig into the details and tactics Understanding of LaTeX and/or RMarkdown is a plus 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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Show more Show less

Dear candidate, We are the hiring partner to one of esteemed clients requiring for below position. Kindly, go through the details before applying. Role : Big Data Administrator Exp- 5+ years Location –Hyderabad (Hybrid) Position Type: Contract (Upto 12 months- extendable) Role: The candidate has a strong technical background in Linux, networking, and security , along with hands-on experience in AWS cloud infrastructure . Proficiency in Infrastructure as Code (Terraform, Ansible) and have managed large-scale BigData clusters (Cloudera, Hortonworks, EMR). Their expertise includes Hadoop Distributed File System (HDFS), YARN, and various Hadoop file formats (ORC, Parquet, Avro). D eep knowledge of Hive, Presto, and Spark compute engines , with the ability to optimize complex SQL queries . They also support Spark with Python (PySpark) and R (SparklyR, SparkR) . Additionally, they have solid coding experience in scripting languages (Shell, Python) and have worked with Data Analysts and Scientists using tools like SAS, R-Studio, JupyterHub, and H2O . Nice-to-have skills include workflow management tools (Airflow, Oozie), analytical libraries (Pandas, Numpy, Scipy, PyTorch), and experience with Packer, Chef, Jenkins . They also have prior knowledge of Active Directory and Windows-based VDI platforms (Citrix, AWS Workspaces). Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹700,000.00 - ₹1,200,000.00 per year Application Question(s): What is your total experience ? How soon you can join ? You understand that this is contract position and your are fine with the same ? What is your current/last salary ? What salary you are expecting now? Work Location: In person

About this Role The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - Master’s in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (e.g., Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph databases), as well as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities #LI-PM3 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:100853 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.

Job Summary: We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques. Key Responsibilities: Design, develop, and deploy Python applications for data analytics and machine learning. Work independently on machine learning model development, evaluation, and optimization. Develop ETL pipelines and process large-scale datasets for analysis. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Schedule: Fixed shift Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 01/07/2025

About This Role The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - Master’s in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (e.g., Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph databases), as well as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities 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:100853 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. Show more Show less

Description Are you excited about developing state-of-the-art Machine Learning, Natural Language Processing, designs using large data sets to solve real world problems? Do you want to build a foundation for your career after your Bachelor's or Master's or Ph.D program at an industry-leading company? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts. you will bring statistical modeling and machine learning advancements for customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products. Location - Bangalore, We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND Basic Qualifications Currently enrolled in degree program (Bachelor's or MS/ Mtech ,MCA.) Engineering ,Computer Science, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science or related fields. working knowledge of programming languages such as Python (SciPy, RPy2, etc). Preferred Skill NLP, Python, React, Mongo Responsibilities include: Design, Develop, & Maintain ReactJS WebApp IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com Show more Show less

Note: Looking for Immediate Joiner. Job Title: Machine Learning Engineer (Gen AI and AI ML) Job Summary: Primary Skills • Master's degree from Computer science, Mathematics, Statistics and other relative disciplines • Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git Secondary Skills • Experience in Ecommerce or Advertising verticals is a plus • Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … • Experience on parallel computing and GPU acceleration is a plus • Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.  Assess the effectiveness and accuracy of new data sources and data gathering techniques.  Transforming data science prototypes and applying appropriate algorithms and tools.  Develop custom ML and non-ML models and algorithms to apply to data sets.  Define the evaluation approach of models  Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.  Coordinate with different functional teams to implement models and monitor outcomes.  Keeping abreast of developments in corresponding domains Note: Looking for Immediate Joiner only. Show more Show less

Position Title: AI/ML Engineer Company : Cyfuture India Pvt. Ltd. Industry : IT Services and IT Consulting Location : Sector 81, NSEZ, Noida (5 Days Work From Office) Website : www.cyfuture.com About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e.g., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise 1. Cloud Computing & Deployment Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. 2. Machine Learning & Deep Learning Strong command of frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. 3. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). 4. Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing: Apache Spark, Dask, Ray. 5. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. 6. Resource Optimization Efficient use of compute resources: GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. 7. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

We're looking for passionate technologists who want to lead client engagements and take responsibility for delivering complex technical projects. Responsibilities Design and implement machine learning solutions for recommendation and classification Use machine learning platforms and services to build solutions and bots, especially for startups as part of our startup studio Building and improving data-intensive web services Developing complex, multi-step data pipelines that unify various data sources into one cohesive platform for data access Unit, integration, and data integrity test development Qualifications Experience building RESTful APIs & multi-tiered web applications in Python, Java, RoR, or Go Understanding of SQL and data warehousing concepts Understanding of leading NoSQL solutions such as Cassandra and MongoDB Experience with Git Experience with at least a few of these components: ElasticSearch, Caffe, Pandas, R, Matlab, SciPy Bachelor’s Degree in Computer Science or Engineering Show more Show less

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 : Automotive ECU Software Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As Python Developer, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients. Roles & Responsibilities: Design and develop Python scripts to process and analyze CAN bus logs generated from instrumented vehicle tests. Utilize libraries like pandas, NumPy, and SciPy to manipulate, clean, and transform automotive datasets. Implement data visualization techniques using libraries like Matplotlib, Seaborn, etc. to create informative dashboards for engineers and analysts. Collaborate with engineers to understand data requirements, define analysis goals, and interpret results. Professional & Technical Skills: Proficiency in Python for building web applications, REST APIs, and automation tasks. Developed Python scripts to extract, clean, and transform CAN bus data from automotive test logs. Developed interactive dashboards using Python libraries like Dash etc. to visualize and analyze automotive test data. Understanding of AWS cloud platform and how to design algorithms that work efficiently in cloud environments. Experience creating dashboards in Tableau. Additional Information: The candidate should have a minimum of 5 years of experience in Python for building web applications and automation tasks. This position is based at our Hyderabad office. A 15 years full time education is required (Bachelor of Engineering in Electronics/Computer Science, or any related stream) Show more Show less

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Automotive ECU Software Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Algorithm/Data Analytics Engineer, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities: Work closely with Cross functional product owners to understand user needs and design algorithms that enable new features or improve existing functionality. Continuously monitor the performance of algorithms and implement optimization techniques. Collaborate with engineers and other stakeholders to understand system requirements, define algorithm specifications, and conduct performance evaluations. Participate in code reviews and provide constructive feedback to ensure code quality and adherence to best practices. Document algorithms clearly and concisely, including design rationale, assumptions, and limitations. Professional & Technical Skills: Minimum of 7 years of experience in software as a service, preferably in the automotive industry. Expertise in python programming language with data science libraries (NumPy, SciPy, Pandas etc.) Understanding of AWS cloud platform and how to design algorithms that work efficiently in cloud environments. Ability to measure the efficiency and performance of algorithms using metrics such as latency, throughput, and resource utilization. Familiarity with testing methodologies to validate algorithm performance in real-world conditions. Additional Information: The candidate should have a minimum of 5 years of experience in automotive industry. This position is based at our Hyderabad office. A 15 years full time education is required Show more Show less

3+ years of experience in data science roles, working with tabular data in large-scale projects. Experience in feature engineering and working with methods such as XGBoost, LightGBM, factorization machines , and similar algorithms. Experience in adtech or fintech industries is a plus. Familiarity with clickstream data, predictive modeling for user engagement, or bidding optimization is highly advantageous. MS or PhD in mathematics, computer science, physics, statistics, electrical engineering, or a related field. Proficiency in Python (3.9+), with experience in scientific computing and machine learning tools (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, etc.). Familiarity with deep learning frameworks (such as TensorFlow or PyTorch) is a plus. Strong expertise in applied statistical methods, A/B testing frameworks, advanced experiment design, and interpreting complex experimental results. Experience querying and processing data using SQL and working with distributed data storage solutions (e.g., AWS Redshift, Snowflake, BigQuery, Athena, Presto, MinIO, etc.). Experience in budget allocation optimization, lookalike modeling, LTV prediction, or churn analysis is a plus. Ability to manage multiple projects, prioritize tasks effectively, and maintain a structured approach to complex problem-solving. Excellent communication and collaboration skills to work effectively with both technical and business teams.

Experience: 5-6 years Key Responsibilities Process, analyze, and interpret time-series data from MEMS sensors (e.g., accelerometers, gyroscopes, pressure sensors). Develop and apply statistical methods to identify trends, anomalies, and key performance metrics. Compute and optimize KPIs related to sensor performance, reliability, and drift analysis. Utilize MATLAB toolboxes (e.g., Data Cleaner, Ground Truth Labeler) or Python libraries for data validation, annotation, and anomaly detection. Clean, preprocess, and visualize large datasets to uncover actionable insights. Collaborate with hardware engineers, software developers, and product owners to support end-to-end data workflows. Convert and format data into standardized schemas for use in data pipelines and simulations. Generate automated reports and build dashboards using Power BI or Tableau. Document methodologies, processes, and findings in clear and concise technical reports. Required Qualifications Proficiency in Python or MATLAB for data analysis, visualization, and reporting. Strong foundation in time-series analysis , signal processing, and statistical modeling (e.g., autocorrelation, moving averages, seasonal decomposition). Experience working with MEMS sensors and sensor data acquisition systems. Hands-on experience with pandas, NumPy, SciPy, scikit-learn, and matplotlib . Ability to develop automated KPI reports and interactive dashboards (Power BI or Tableau). Preferred Qualifications Prior experience with data from smartphones, hearables, or wearable devices . Advanced knowledge in MEMS sensor data wrangling techniques. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Exposure to real-time data streaming and processing frameworks/toolboxes. Show more Show less

DESCRIPTION DESCRIPTION The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key job responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute Support on-call activities for critical issues Basic Qualifications Experience building machine learning models or developing algorithms for business application PhD, or a Master's degree and experience in CS, CE, ML or related field Knowledge of programming languages such as C/C++, Python, Java or Perl Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Preferred Qualifications 5+ years of building machine learning models or developing algorithms for business application experience Have publications at top-tier peer-reviewed conferences or journals Track record of diving into data to discover hidden patterns and conducting error/deviation analysis Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Exceptional level of organization and strong attention to detail Comfortable working in a fast paced, highly collaborative, dynamic work environment BASIC QUALIFICATIONS 5+ years of building machine learning models for business application experience PhD, or Master's degree and 10+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS 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. Company - ADCI MAA 15 SEZ Job ID: A2848605 Show more Show less

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY. Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte's 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com What's the Opportunity? We're looking for a skilled Software Engineer (Python/AWS) to join our innovative team! This is a fantastic chance to contribute directly to building scalable and reliable software systems on AWS. You'll be working on core services that power our SaaS platform. If you're passionate about well-engineered software, cloud-native solutions, and using modern development tools like Cursor IDE and GitHub Copilot to boost your productivity, we want to hear from you! What will I be doing? Be a part of the team working on cutting-edge AI products in the wellness industry. Design, develop, and deploy cloud-based features using Python and relevant frameworks. Collaborate with data scientists and product managers to translate business requirements into technical solutions. Leverage data analysis techniques to extract insights and improve application functionality. Write clean, maintainable, and well-documented code. Conduct code reviews and contribute to improving code quality across the team. Stay up-to-date with the latest advancements in Python, cloud technologies, and data analysis practices. Troubleshoot and debug complex technical issues. Proactively identify and implement performance optimizations. Work effectively in a cross-functional team environment. What skills do I need? Bachelor's degree in Computer Science or IT. 4 to 6 years of overall experience as a Python developer. Experience in building solutions upon AWS cloud services. Experience in using Python data analytics frameworks like numpy, pandas and scipy is a must. Exposure to ML frameworks like Tensorflow and PyTorch will be an added advantage. Benefits Attractive Compensation & Benefits Comprehensive medical coverage for yourself and your immediate family An environment where wellbeing is high on priority – access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives" Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Your Job As a Data Analyst in Molex's Copper Solutions Business Unit software solution group, you will be to extracting actionable insights from large and complex manufacturing datasets, identifying trends, optimizing production processes, improving operational efficiency, minimizing downtime, and enhancing overall product quality. You will be collaborating closely with cross-functional teams to ensure the effective use of data in driving continuous improvement and achieving business objectives within the manufacturing environment. Our Team Molex's Copper Solutions Business Unit (CSBU) is a global team that works together to deliver exceptional products to worldwide telecommunication and data center customers. SSG under CSBU is one of the most highly technically advanced software solution group within Molex. Our group leverages software expertise to enhance the concept, design, manufacturing, and support of high-speed electrical interconnects. What You Will Do 1. Collect, clean, and transform data from various sources to support analysis and decision-making processes. 2. Conduct thorough data analysis using Python to uncover trends, patterns, and insights. 3. Create & maintain reports based on business needs. 4. Prepare comprehensive reports that detail analytical processes and outcomes. 5. Develop and maintain visualizations/dashboards. 6. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. 7. Perform ad hoc analysis to support business decisions. 8. Write efficient and optimized SQL queries to extract, manipulate, and analyze data from various databases. 9. Identify gaps and inefficiencies in current reporting processes and implement improvements and new solutions. 10. Ensure data quality and integrity across all reports and tools. Who You Are (Basic Qualifications) B.E./B.Tech Degree in Computer Science Engineering, Information Science, Data Science or related discipline. 3-5 years of progressive data analysis experience with Python (pandas, numpy, matplotlib, OpenPyXL, SciPy , Statsmodels, Seaborn). What Will Put You Ahead . Experience with Power BI, Tableau, or similar tools for creating interactive dashboards and reports tailored for manufacturing operations. • Experience with predictive analytics e.g. machine learning models (e.g., using Scikit-learn) to predict failures, optimize production, or forecast demand. • Experience with big data tools like Hadoop, Apache Kafka, or cloud platforms (e.g., AWS, Azure) for managing and analyzing large-scale data. • Knowledge on A/B testing & forecasting. • Familiarity with typical manufacturing data (e.g., machine performance metrics, production line data, quality control metrics). At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Who We Are {Insert company language from Company Boilerplate Language Guide } At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Financial Analysts and Advisors (Vet Existing Resources) Collect market and company data, build/maintain financial models, craft decks, track portfolios, run risk and scenario analyses, develop client recommendations, and manage CRM workflows. Commercial Software ‑ Bloomberg Terminal, Refinitiv Eikon, FactSet, Excel, PowerPoint, Salesforce FSC, Redtail, Wealthbox, Orion Advisor Tech, Morningstar Office, BlackRock Aladdin, Riskalyze, Tolerisk, eMoney Advisor, MoneyGuidePro, Tableau, Power BI. Open / Free Software ‑ LibreOffice Calc, Google Sheets, Python (Pandas, yfinance, NumPy, SciPy, Matplotlib), R (QuantLib, tidyverse), SuiteCRM, EspoCRM, Plotly Dash, Streamlit, Portfolio Performance, Ghostfolio, Yahoo Finance API, Alpha Vantage, IEX Cloud (free tier). Show more Show less

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

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Graph Analytics Familiarity with Graph Algorithms (Directed & Undirected) Traversal (BFS, DFS), Cycle Detection (Bellman Ford, Flyod Warshall), Shortest Path (Dijkstra, A*) etc. Building Knowledge Graphs with unstructured data and knowledge graph optimizations like PageRank/TrustRank is expected Mathematical Optimization Familiarity with common optimization algorithms, both discrete Linear, Mixed-Integer, Goal, Dynamic etc and continuous GD and its variants, Newtons method etc. is expected. Experience with Simulated Annealing and exposure to ML inspired evolutionary optimization algorithms like Genetic Algorithm & Genetic Programming for optimization is a plus. Simulations Monte Carlo Simulation, Discrete-Event Simulation, Agent-Based Simulation, Hybrid Simulation, System Dynamics, Genetic Algorithm based Simulation. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Your Profile Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.