494 Scipy Jobs - Page 6

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: ₹800,000.00 - ₹1,500,000.00 per year Schedule: Day shift Ability to commute/relocate: Chandrasekharpur, Bhubaneswar, Orissa: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 5 years (Required) Work Location: In person Expected Start Date: 01/08/2025

Role - Python Developer Contract duration - 6 months (Extendable) Mode: Hybrid (3 days a week) Skills Required: Python, Oops Concept, Data Structures, Algorithms, Libraries- NumPy, Pandas, SciPy, Scikit-learn, Git, Docker, CI/CD, MySQL.

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: ₹800,000.00 - ₹1,500,000.00 per year Schedule: Day shift Ability to commute/relocate: Chandrasekharpur, Bhubaneswar, Orissa: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 5 years (Required) Work Location: In person Expected Start Date: 01/08/2025

The Senior Python Developer- VP is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Project Synopsis: This role is for Market Risk department of Citi wherein we are primarily engaged in risk measurement using various methodologies and Risk Regulations. The project involves connecting to Centralized/FO Data providers to download all required data items for all the trades & proceed with trade pricing and risk calculation. The nature of work being quite critical to the firm, accuracy and performance are key to success of these projects. Each project implementation needs to be quite optimal/performant, scalable and with best possible tech-stack to cater to the business needs. Domain : The work involves regular interactions with Quants, Risk Analytics, Risk Manager and FO IT teams. We need to work with Quants to integrate their pricing libraries in our tech solutions and perform various calculations. Few millions of trades are priced daily , risk calculated and reporting of all involved activities. Exposure to similar work and related development work shall be helpful. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: Highly experienced and skilled senior core python developer with 8-12 years of experience with software building and platform engineering. Extensive development expertise in building the highly scaled and performant software platforms for data computation and processing. Expert level knowledge of core python concepts and libraries such as pandas, numpy and scipy and well versed with OOPs concepts and design patterns. Strong computer science fundamentals in data structures, algorithms, databases and operating systems. Highly experienced with Unix based operating systems Strong analytical and logical skills. Hands-on experience in writing SQL queries. Experience with source code management tools such as Bitbucket, Git etc Experience working with banking domain like pricing, risk etc is plus CFA/FRM certification is plus. Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Title - Data Engineer Sr.Analyst ACS Song Management Level:Level 10- Sr. Analyst Location:Kochi, Coimbatore, Trivandrum Must have skills:Python/Scala, Pyspark/Pytorch Good to have skills:Redshift Job Summary Youll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional and Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering About Our Company | Accenture (do not remove the hyperlink)Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role. Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for planning and designing new software and web applications. Edits new and existing applications. Implements, testing and debugging defined software components. Documents all development activity. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities - Develop and deploy applications on cloud-based environments following the full lifecycle of software development. Maintaining and continuous improvement of existing applications and solutions. Writing quality and efficient code following coding and security principles. Implement solutions based on project requirements and technical specifications. Identify technology and design issues and provide proactive communication. Employees At All Levels Are Expected To - 3 years of experience in Python Programming. 3+ years of relevant experience with Application development and deployment in cloud. Solid understanding of REST API's development and integration. Work experience with Python libraries such as Pandas, SciPy, NumPy, etc. Working experience in any one of the SQL or NoSQL databases. Experience with application deployment on cloud-bases environments such as AWS, etc. Experience with version control, Git preferred. Knowledge in OOP and modular application development and documentation. Good Problem Solving and debugging skills. Possess the ability to learn and work independently, along with strong communication, and a strong work ethic Good To Have Experience with different distributions of Linux. Experience in Spark. Experience with container technologies such as Docker. Experience with CICD tools such as Concourse, Terraform. Disclaimer This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

About the role We are looking for an experienced Data Engineer with advanced skills in SQL, Power BI, and Python to drive data-driven financial insights and support strategic decision-making. The ideal candidate will lead complex data analysis, build robust financial models, and develop interactive dashboards to provide clear, actionable business intelligence for the finance team and stakeholders and to develop and maintain robust ETL/ELT pipelines, ensuring high data quality, integrity, and availability across our data ecosystem. The ideal candidate will optimize data storage solutions, collaborate closely with stakeholders, and implement strong data security and governance practices to support downstream analytics and business use cases. Skills & experience Experience in Big Data Analytics/Engineering: Minimum 3 years Experience in building complex SQL queries (e.g. CTEs, sub queries, pivot queries etc) using a SQL development and work with large datasets. Deep understanding of SQL and NoSQL databases, data warehousing concepts, and data modelling tailored to financial data. Proficient in Python with experience in data analysis libraries like Pandas, NumPy, and SciPy for statistical analysis and complex data manipulation. Automation scripting using Python for data pipeline orchestration, monitoring and error handling. Hands-on experience with Snowflake data platform for data warehousing and analytics Proven experience in designing and building ETL/ELT pipelines. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Strong analytical capability with an inclination for problem solving Excellent communication skills particularly written and verbal in English Qualifications: Bachelor’s degree in computer science, Information Systems, Data Science, or related field; Master’s preferred. Experience in Data Analytics and Management: Minimum 3 years Benefits & culture At Zellis we create market-leading HR & Payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from all of our 2,000 colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we’re proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you’ll have the chance to stretch and challenge yourself in an environment that’s varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you’ll receive: A competitive salary. Excellent career progression opportunities. Transportation to the office (up to 30kms). Casual, privilege and sick leave, plus your birthday off. Group medical insurance. Personal accident insurance. Life assurance. A range of additional flexible benefits to support personal wellbeing.

Position type- Full Time Work Location- Noida/Gurugram Working style- Hybrid People Manager role: No Required education and certifications critical for the role- B.tech or MCA or engineering degree Required years of experience – Minimum 3 years of relevant experience Aon is looking for a Senior Analyst, Software Engineering. As part of an industry-leading team, you will help empower results for our clients by delivering innovative and effective solutions as part of our Aon Life Solutions within Aon Reinsurance Strategy and Technology Group, in India. As a software engineer and Senior Analyst, you will report directly to the Director, Global Life Risk Modelling Consulting offshore lead. Your impact as a Senior Analyst: Aon Life Solutions provides high efficiency computing software, consulting services as well as advisory services to financial intermediaries, primarily insurance companies. The high-performance software platform, PathWise, provides companies with the ability to easily model financial obligations without involved coding and is run on Graphical Processing Units (GPU), making it the fastest, readily available software platform currently in use in the insurance industry. Global Life Risk Modelling consulting services has focused primarily on actuarial analysis, modelling of insurance liabilities and financial assets and reviews of hedging programs. As a Senior Analyst and Software Engineer in Global Life Risk Modelling Consulting Team, you will work with different teams to support the development of models and processes for companies moving to PathWise. You will break down complex problems into steps that drive product development. You will provide valuable contributions to the Aon Life product vision and go-to-market strategy. What The Day Will Look Like Support the development of models and processes for companies moving into PathWise Support the development of complex actuarial and financial products and libraries powered by HPC on GPUs in an Agile environment. Provide technical guidance as an expert in multiple technologies to the software development team and supervise their activities. Develop innovative solutions to some of the most complex and challenging problems by collaborating as needed across regions, product areas and functions. Understand trends in financial and insurance industries, the cloud ecosystem, the competitive market and customer requirements in depth. Perform analysis and research into technology trends, products and competitors; provide recommendations for improvements and general changes to the product. How This Opportunity Is Different Be part of a growing multi-disciplinary team developing an exciting new product used globally by leading financial institutions. You will connect the technical and business worlds through your work on a disruptive high-performance computing platform leveraging GPU technology. Experience first-hand how your valuable contributions through all stages from inception, design and development, delivery, and go-to-market turn your product into a success. Skills And Experience That Will Lead To Success Motivated, self-driven individual, that is not afraid to take initiative and facilitate change where necessary. Bachelor's degree in a technical field such as Electrical/Computer Engineering or Computer Science, Master’s degree a plus. 3+ years’ experience as a Software Engineer in developing and launching products, libraries and technologies within the actuarial and/or financial industries in an agile environment. Expert knowledge of python (NumPy, Pandas, SciPy) is a must. Expert knowledge of Agile methodologies and Software Development Life Cycle (SDLC). Experience with Azure Devops and Atlassian tools, Jira, Confluence. Knowledge of C, C++, C# a plus. Knowledge of parallel computing and Cuda a big plus. Experience with software version control systems: git, svn Experience developing software on Linux. Knowledge of actuarial and/or financial products and libraries such as QuantLib. Technical knowledge and experience in multiple Software Development Life Cycle (SDLC) models. How we support our colleagues In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience. #LI-RK2 2564424

Role & responsibilities 5+ in Machine Learning Engineering Strong programming skills in Python with experience in libraries such as scikit-learn, torch, pandas, scipy, click, and flask and/or FastAPI. Experience with the AWS ecosystem ( AWS SageMaker ) Strong understanding of ML algorithms, techniques, and best practices. Strong programming skills in python and Data analytical expertise

Job Title: Python Developer Experience Required: 4 to 7 Years Location: Noida / Gurgaon (Onsite – 5 Days a Week) Employment Type: Full-Time Position Summary: We are seeking an experienced and results-driven Python Developer to join our technology team. The ideal candidate will have a strong foundation in Python programming, object-oriented design, data structures, and algorithms. This role requires hands-on experience with data science libraries, modern development tools, and containerization workflows. The position is onsite , requiring physical presence at our Noida or Gurgaon office five days a week . Key Responsibilities: Design, develop, and maintain high-performance, scalable Python-based applications. Apply object-oriented programming and algorithmic thinking to solve complex problems. Develop data processing and analytical workflows using libraries such as NumPy , Pandas , SciPy , and Scikit-learn . Collaborate with DevOps teams to integrate applications into CI/CD pipelines and containerize solutions using Docker . Manage version control using Git , ensuring clean and efficient codebase management. Design and optimize relational databases, particularly MySQL , for performance and reliability. Work closely with cross-functional teams to gather requirements and deliver high-quality solutions within deadlines. Required Skills: SkillProficiency Required Python Programming Advanced Object-Oriented Programming (OOP) Strong understanding Data Structures & Algorithms Proficient NumPy, Pandas, SciPy, Scikit-learn Hands-on experience Git Proficient Docker, CI/CD Working experience MySQL Solid experience in database design and queries Candidate Attributes: Excellent problem-solving and analytical abilities. Strong verbal and written communication skills. Ability to work independently in a fast-paced, collaborative environment. Detail-oriented with a commitment to code quality and documentation.

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

Are you prepared for an exciting opportunity to be part of a dynamic team in a challenging setting As a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, you will have a crucial role in implementing the next generation risk analytics platform. The main goal of the QRMC team is to construct models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). The QRMC team in India will play a significant role in supporting QRMC group's activities globally, collaborating closely with Front Office and Market Risk functions to create tools and utilities for model development and risk management. Your responsibilities will include working on implementing the next generation risk analytics platform, evaluating model performance, conducting back testing analysis and P&L attribution, enhancing the performance and scalability of analytics algorithms, developing mathematical models for VaR/Stress/FRTB, assessing the adequacy of quantitative models and associated risks, designing efficient numerical algorithms, and creating software frameworks for analytics delivery to systems and applications. To qualify for this role, you should hold an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, or related fields and have at least 3 years of relevant experience in Python and/or C++. Proficiency in data structures, standard algorithms, and object-oriented design is essential. Additionally, you should possess a basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG, and be interested in applying agile development practices. Strong quantitative and problem-solving skills, research skills, knowledge of basic mathematics like statistics and probability theory, good interpersonal and communication skills, and the ability to work in a team are also required. Attention to detail and adaptability are key attributes for success in this role. Preferred qualifications include experience with statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, experience with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, familiarity with advanced mathematics such as stochastic calculus, and understanding of front-end technologies like HTML, React, and integration with large data sets.,

We are looking for an Optimization Specialist who will be responsible for developing and deploying advanced analytical solutions leveraging mathematical optimization techniques. As an Optimization Specialist, you will have a crucial role in shaping the future of manufacturing operations by designing, developing, and deploying innovative scheduling solutions to optimize complex business processes. The ideal candidate for this position will excel in formulating and solving various optimization problems such as LP, MILP, combinatorial optimization, and scheduling. You should be adept at applying innovative algorithms to achieve optimal solutions. In this role, you will be working with a technical environment that includes language Python, frameworks like COIN-OR, PyTorch, NumPy, SciPy, Pyomo, and Django, application architecture that is scalable, resilient, reactive, event-driven, and secure microservices architecture, and cloud services provided by AWS. Your responsibilities will include designing, developing, and implementing advanced mathematical optimization models and solvers to address complex business challenges across various domains. You will identify and model optimization problems in different manufacturing businesses, design and implement robust optimization algorithms, evaluate and select appropriate solvers, and develop machine learning models to support data-driven decision-making. To qualify for this position, you should have 1-3 years of experience in Operations Research and Python programming, a Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field, experience in building optimization models from scratch, knowledge of constraint programming, and proficiency in statistical analysis tools such as Python. Strong problem-solving abilities, creativity, and effective communication skills are essential. Join our team at Techtinium, where we have a passion for innovative products and a commitment to delivering superior software solutions. We value our team members and provide a positive, collaborative environment where your skills will be honed across the software development lifecycle. If you are ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We are eager to welcome you to our team!,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Implement Web applications in Python/Django Understanding project requirement & converting into technical requirements Independently do the coding/development of complex modules Independent contributor, high quality software within the timelines Ensure high quality releases through appropriate QC and QA activities Participate in technical discussions / reviews Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications 1.5-3 years relevant experience in developing applications for financial services clients 1-3 years of experience implementing web application in Python/ Django Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models Must be able to design and develop web applications using Open source technology (Python) Should have good understanding and exposure to unit testing.

Job Title: Python Microservices Developer with AI Integration Experience: 5+ Years Location: Gurugram, India Job Type: Full-Time Work Mode: Onsite Job Overview: We are seeking a highly skilled Python Developer with experience in building microservices-based architectures and integrating AI/ML models into enterprise systems. The ideal candidate will work closely with data scientists, DevOps, and backend teams to create intelligent, scalable, and production-ready systems. Key Responsibilities: Design, develop, and deploy robust Python microservices for high-performance applications Collaborate with AI/ML teams to integrate trained models into microservices for real-time inference Build and maintain RESTful APIs to expose microservices and AI features Ensure high availability, performance, and security of microservices in production Optimize data pipelines and backend processes for scalability Participate in code reviews, architecture discussions, and agile ceremonies Monitor and troubleshoot microservices in production environments Required Skills & Experience: 5+ years of professional experience with Python and microservices architecture Strong knowledge of FastAPI , Flask , or Django REST Framework Experience deploying or integrating AI/ML models (e.g., scikit-learn, TensorFlow, PyTorch, OpenAI, Hugging Face) Familiarity with containerization and orchestration tools like Docker and Kubernetes Hands-on experience with REST APIs , JSON , and message queues (Kafka/RabbitMQ) Experience working with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines Proficient in using databases (SQL & NoSQL PostgreSQL, MongoDB, etc.) Preferred Qualifications: Exposure to AI/ML model deployment , model versioning, and inference best practices Experience using MLflow , Airflow , or similar workflow tools Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack Strong understanding of software design principles and performance optimization

Job Description Position: CV Scientist Responsibilities Drive to productionize algorithms (industrial level) developed through hard-core research Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues Entrepreneurial and out-of-box thinking essential for a technology startup Do unit-test code for robustness, including edge cases, usability, and general reliability Requirements Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution, Diffusion Model, Gans etc.) along with knack to imagine new schemas that work for the given data. Hands-on experience in Pytorch and model building from scratch. Hands on experience on GPU System In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers Experience with technologies/libraries such as python pandas, numpy, scipy, opencv Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction Ability to understand, optimize and debug imaging algorithms Understating and experience in open CV library Understanding of engineering principles and a clear understanding of data structures and algorithms Experience in writing production level codes using Python Basic understanding of C++/ C# Desired Skills Algorithms, Python, C++/Java(basics), debugging, performance optimization on low-end processors, data structures Minimum Experience: 3 - 5 yrs.

Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria’s largest merchant acquirer. Your Opportunity and Mission We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint’s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models Design experiments and interpret the results to draw detailed and actionable conclusions Work in cross-functional teams across disciplines such as product, engineering and business. You Have... +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred. Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation. Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure. Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights Excellent spoken and written English What Moniepoint Can Offer You The opportunity to drive financial inclusion and shape the future of the African financial ecosystem The chance to work on innovative and impactful projects A dynamic, diverse, and collaborative environment where every team member’s voice is recognized and valued Flexible work arrangements Continuous learning and career growth opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus Company covered health insurance plans Pension plans What To Expect In The Hiring Process A preliminary phone call with one of our recruiters A general interview with the Senior Manager of Marketing Strategy A case study-based discussion with SVP of Marketing A behavioural interview with members of the Executive team Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description • Implement Web applications in Python/Django• Understanding project requirement & converting into technical requirements• Independently do the coding/development of complex modules• Independent contributor, high quality software within the timelines • Ensure high quality releases through appropriate QC and QA activities• Participate in technical discussions / reviews • Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications • 1.5-3 years relevant experience in developing applications for financial services clients• 1-3 years of experience implementing web application in Python/ Django• Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models• Must be able to design and develop web applications using Open source technology (Python)• Should have good understanding and exposure to unit testing.

A Multi-Player Gaming Company - Head Digital Works is the pioneer & one of India's largest online skill-gaming companies that develop and operate zeal-driven applications for online gaming enthusiasts. With more than 60 million+ users and multiple brand verticals like A23Rummy and Cricket.com, We have come a long way in the past 18 years. What started from a small garage in 2006 with nothing but a dream - "To become India's leading online gaming portal" has now turned into one of the most profitable start-ups in India that have gone through cycles of angel, venture capital and private equity investments. We're a diverse group of thinkers and doers who are reimagining what's possible to make it easier for all of us to do what we love in new ways. Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyze key product data sets to understand customer and product behavior Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyze model performance and data accuracy Technical Skills : At least 2-4 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills What We Offer - Competitive salary Mediclaim Policy - Best in Industry Flexible working hours Career Development Program Best in Industry Reward and Recognition program Inclusive and Collaborative Work culture Complimentary snacks are served everyday If you would want to be a part of this multi-million user company, apply on the given link

Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyse key product data sets to understand customer and product behaviour Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyse model performance and data accuracy Technical Skills : At least 1 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyse with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Data Science team you will design and deliver scalable AI applications that drive business transformation. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client connections while navigating the evolving landscape of AI and machine learning. This role offers the chance to work on innovative technologies, collaborate with cross-functional teams, and contribute to creative solutions that shape the future of the industry. Responsibilities Design and implement scalable AI applications to facilitate business transformation Analyze intricate problems and propose practical solutions Mentor junior team members to enhance their skills and knowledge Establish and nurture meaningful relationships with clients Navigate the dynamic landscape of AI and machine learning Collaborate with cross-functional teams to drive innovative solutions Utilize advanced technologies to improve project outcomes Contribute to the overall strategy of the Data Science team What You Must Have Bachelor's Degree in Computer Science, Engineering, or equivalent technical discipline 4-9 years of experience in Data Science/ML/AI roles Oral and written proficiency in English required What Sets You Apart Proficiency in Python and data science libraries Hands-on experience with Generative AI and prompt engineering Familiarity with cloud platforms like Azure, AWS, GCP Understanding of production-level AI systems and CI/CD Experience with Docker, Kubernetes for ML workloads Knowledge of MLOps tooling and pipelines Demonstrated track record of delivering AI-driven solutions Preferred Knowledge/Skills Please reference About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.ill categories for job description details. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 9 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI, including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.

You will be working at ClearTrail, where the focus is on developing solutions to empower organizations dedicated to ensuring the safety of their people, places, and communities. With over 23 years of experience, ClearTrail has been a trusted partner for law enforcement and federal agencies worldwide in safeguarding nations and enriching lives. As part of the team, you will contribute to the future of intelligence gathering by creating artificial intelligence and machine learning-based lawful interception and communication analytics solutions to address some of the world's most challenging problems. Your role will involve developing and training machine learning models that leverage drone, satellite, and real-time video data for complex visual understanding tasks. You should have a minimum of 10-12 years of relevant experience for this position. Key responsibilities of the role include: - Building machine learning and deep learning models for image and video classification, segmentation, and spatiotemporal analysis. - Developing fusion methods to align and combine data from satellite, drone, and ground footage. - Applying advanced techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. - Conducting model evaluation and optimization across various data sources. Essential skills for this role include: - Strong proficiency in Python coding and data manipulation using libraries such as NumPy, Pandas, and SciPy. - Expertise in vision/model libraries like MMDetection, Detectron2, and OpenCV. - Deep learning experience with PyTorch, TensorFlow, and video models such as TimeSformer, SlowFast, I3D, and Yolo. - Knowledge of satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. - Familiarity with time series analysis, motion tracking, and optical flow using tools like RAFT and FlowNet. - Understanding of remote sensing libraries such as Rasterio, GDAL, GeoPandas, and xarray. If you are passionate about leveraging machine learning and artificial intelligence to address complex challenges in intelligence gathering, this role at ClearTrail offers an exciting opportunity to make a meaningful impact.,

As a Credit Risk Model Developer at Tiger Analytics, you will be a key player in the end-to-end development, implementation, and monitoring of application and behavioral scorecards within the dynamic retail banking division, focusing primarily on the unsecured lending portfolio in the Indian banking context. Your expertise and contributions will be instrumental in enhancing credit risk management capabilities, optimizing lending decisions, and driving profitable growth through advanced analytical techniques and robust statistical models. Your responsibilities will include leading the design, development, and validation of new application and behavioral scorecards tailored for the Indian retail banking landscape, with a specific focus on personal loans, credit cards, and other unsecured portfolios. You will utilize advanced statistical methodologies and machine learning techniques, leveraging Python for data manipulation, model building, and validation. Additionally, you will ensure robust model validation, back-testing, stress testing, and scenario analysis to ensure model robustness and stability while adhering to regulatory guidelines and internal governance. Furthermore, you will drive the deployment of developed scorecards into production environments on AWS, collaborating with engineering teams to integrate models into credit origination and decisioning systems. You will also implement and manage MLOps practices for continuous model monitoring, re-training, and version control within the AWS ecosystem. In terms of data strategy and feature engineering, you will proactively identify, source, and analyze diverse datasets to derive highly predictive features for scorecard development. Addressing data quality challenges and ensuring data integrity and suitability for model inputs will also be a key part of your role. Your role will also involve establishing and maintaining comprehensive model performance monitoring frameworks, tracking key performance indicators like Gini coefficient, KS statistic, and portfolio vintage analysis. Based on performance degradation, regulatory changes, or evolving market dynamics, you will identify triggers for model recalibration or redevelopment. The ideal candidate for this role will have 3-10 years of hands-on experience in credit risk model development, with a strong focus on application scorecard development and exposure to behavioral scorecards within the Indian banking sector. A Bachelor's or Master's degree in a quantitative discipline and exceptional hands-on expertise in Python, proficiency in SQL, and familiarity with AWS services relevant to data science and machine learning are essential requirements. Strong analytical, problem-solving, and communication skills are also crucial for effectively communicating complex technical concepts to both technical and non-technical stakeholders.,

As a science and technology leader with over 30 years of experience in developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses, Schrdinger is looking for an application-focused Materials Informatics & Optoelectronics Scientist to join in the mission of improving human health and quality of life through the application of advanced computational methods. Joining the Materials Science team at Schrdinger will provide you with the opportunity to work on diverse projects in optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. You will love this job if you are a statistical and machine learning expert with robust problem-solving skills, a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages, a proficient Python programmer and debugger with knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch, an experienced researcher with hands-on experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies, and a specialist in quantum chemistry or materials science who enjoys collaborating with an interdisciplinary team in a fast-paced environment. Your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR, working with domain experts to ensure the accuracy and quality of data (such as molecular structures, SMILES strings, experimental measurements, etc), developing and validating predictive machine learning models for OLED devices and other optoelectronic applications, communicating results and presenting ideas to the team, developing tools and workflows that can be integrated into commercial software products, and validating existing Schrdinger machine learning products using public datasets or internally generated datasets. To be successful in this role, you should hold a PhD in Chemistry or Materials Science, have hands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals, and experience with LLM, OCR technologies, and the extraction of datasets for ML model development.,