1136 Probability Jobs - Page 5

Role: Data Scientist Experience: 4 - 9 Years Location: Gurugram - Onsite Qualification: B.Tech Job Description: • Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python • Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. • Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. • Should be able to perform EDA of raw data & feature engineering wherever applicable • Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. • Should be able to leverage cloud platforms for training and deploying large scale solutions. • Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. • Retrain and maintain model accuracy in deployment. • Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. • Should be able to take complete ownership of the assigned project • Experience of working in Agile environments • Well versed with JIRA or equivalent project tracking tool

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,

We are seeking a Data Scientist with over 4 years of experience to analyze and extract data, providing actionable insights and developing scalable analytics solutions. The ideal candidate must be able to generate insights for digital products & services, build automated frameworks for business stakeholders, and offer insights on various aspects including Personalization, Search & Navigation, SEO, Supply Chain, and Services. Additionally, developing dashboards for financial results, customer satisfaction, and engagement metrics, as well as conducting predictive & prescriptive modeling to ensure the organization's competitive edge are crucial responsibilities. Keeping abreast of industry trends, emerging technologies, and methodologies is essential, along with collaborating across teams to translate business problems into data-driven solutions. Furthermore, ensuring solutions are scalable, implementable, and impactful while following enterprise project management practices for execution is necessary. The ideal candidate should possess intermediate knowledge of Data Science algorithms such as clustering, regression, and optimization. Proficiency in Python 3 with libraries like NumPy, Pandas, SciPy, Sklearn, TensorFlow, and PyTorch is required, along with basic to intermediate SQL skills. Data visualization using tools like Matplotlib, Seaborn, and Plotly, experience with cloud platforms (preferably GCP, with AWS/Azure also acceptable), and ML deployment at scale using platforms like Kubeflow, VertexAI, Airflow, and PySpark are essential. A strong understanding of probability, statistics, and basic linear algebra is crucial, as well as the ability to propose end-to-end solutions from business use cases and communicate technical concepts effectively. Nice-to-have skills include experience with advanced DS algorithms, exposure to advanced mathematics, familiarity with microservices APIs, model monitoring, debugging tools, and applying academic research to real-world problems. Candidates must hold a Bachelor's degree with 4 years, a Master's degree with 2 years, or a Ph.D. with 1 year in Mathematics, Statistics, Computer Science, Data Science, or related fields. Programming experience in Python is required, with Java/Scala/Rust considered a plus. A strong grasp of machine learning techniques and cloud-based solutions is necessary. This role offers the opportunity to work on cutting-edge AI/ML projects, solve complex business problems, and thrive in a collaborative and fast-paced environment. Immediate joiners or candidates with up to a 15-day notice period are highly preferred.,

As the leader of the data analytics and AI team, you will play a crucial role in driving our organization towards a data-first and data-driven approach. Your primary responsibility will be to deliver and maintain smart data-driven solutions that are essential for our growth and daily operations. By accelerating the adoption of AI solutions, you will enhance efficiency, foster innovation, and gain a competitive advantage for the company. Your role will involve overseeing all aspects of new data and AI projects, from their inception to delivery, with a strong emphasis on assessing business value, ROI, and cost reduction. Your key responsibilities will include leading and developing a robust data analytics and AI team, establishing best practices and methodologies for data analytics and responsible AI initiatives, managing and overseeing AI and LLM projects, building relationships with business process owners, collaborating with internal and external stakeholders, developing advanced models and algorithms, addressing data mining performance issues, and staying updated on the latest advancements in AI and LLM technologies to improve project outcomes. Preferred skills for this role include proficiency in programming languages such as Python, R, or similar, understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), clustering techniques, and principal component analysis. Additionally, familiarity with data science concepts including statistics, probability, data transformation, visualization, storytelling, and deep learning, as well as expertise in statistical and mathematical methods and data & AI technologies/tools like ML Ops, ETL, data lakes, graph databases, NLK, and data optimization will be beneficial for success in this position.,

Key Responsibilities Teach core mathematics to students of class 11th and 12th (CBSE boards) and logical reasoning to students preparing for CUET, IPMAT, and CLAT competitive exams Cover topics including algebra, calculus, trigonometry, coordinate geometry, probability, statistics, clocks and calendar, blood relations, direction test, and other syllabus areas with conceptual clarity Build students’ strong foundation by focusing on fundamentals, problem-solving techniques, and application-based learning Prepare high-quality notes, assignments, practice questions, and mock tests aligned with board exams and entrance tests such as CUET, CLAT, IPMAT, and other aptitude-based exams Hold a graduate degree in mathematics, statistics, engineering, or related discipline Qualify or prepare for any competitive examination such as SSC, banking, CUET, UPSC, or similar aptitude-based exams Possess teaching experience or be an enthusiastic fresher with strong conceptual clarity and communication skills Simplify concepts and deliver them in an exam-oriented, student-friendly manner Maintain an enthusiastic, motivational, and approachable teaching style Demonstrate strong English communication, presentation, and interpersonal skills About Company: In a world where technology is evolving at lightning speed, Agility AI Pvt Ltd stands at the forefront of transformation, bridging the gap between cutting-edge AI solutions and AI education for businesses, students, and professionals. We are an AI-driven solutions provider committed to helping companies integrate artificial intelligence seamlessly into their workflows, enabling smarter decision-making, automation, and innovation. But we don't stop there. We offer AI-powered business solutions, from intelligent automation to data-driven decision-making, to help businesses leverage AI for efficiency, scalability, and growth. Additionally, we provide AI education and training through hands-on courses, workshops, and certifications, equipping students and professionals with real-world AI skills.

We are the computational advertising team in the AI & Research organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. The Principal Applied Scientist will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. They will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will master one or more subareas and gain expertise in a broad area of research. You’ll use your expertise to identify appropriate techniques for examining a problem and foster an audience for the product based on your understanding of the industry. You will review business and product requirements, identify problems, and develop strategies to resolve team problems. You’ll develop an understanding of tools and methods being used in the community and hold team members accountable to support business impact. You will share industry and competitive insights and build capabilities through coaching. You’ll provide guidance around best practices and collaborate with the academic community to develop the recruiting pipeline. You will document scientific work to ensure processes are captured. You’ll also contribute to ethics and privacy policies related to research processes by providing updates and suggestions around best practices. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Experience implementing machine learning algorithms or research papers from scratch Solid experience with TensorFlow/PyTorch and deep learning models is a prerequisite. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Domain: Investment Banking (Asset management, Wealth management, Capital market, Equity, Fixed income) Experience: 6-13 Years JD: 7-9 years of experience as a Data Analyst, with at least 5 years supporting Investment within the industry. Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis. Advanced SQL skills: proficiency in Python is a strong plus. Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration. Experience working in hybrid onshore-offshore team environments. Deep understanding of data modeling concepts and experience working with relational and dimensional models. Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences. A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios. Strong understanding of life insurance products and business processes across the policy lifecycle. Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets. Quantitative Finance: Understanding of financial modeling, risk management, and derivatives. Regulatory Framework: Awareness of relevant financial regulations and compliance requirements.

The Project Analyst 3 is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Responsibilities: Collect, measure and analyze project management data. Identify, track and close project issues. Ensure creation of project scope plan and creation of project schedule. Forecast project costs, track actual project costs, identify variances, and revise forecasted project costs as needed. Create the project quality management plan, identify quality standards and metrics to measure achievement of these standards. Identify project risks, perform probability and impact analysis, determine responses to risks, track risks, and execute responses as needed. Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. 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. Preferred experience interacting with multiple clients/users in an IT analyst role requiring strong organizational skills and business judgment. Demonstrated ability to methodically synthesize and analyze data with precise qualitative outputs. Attention to detail to ensure precision of data and overall quality of outputs. Experience with Microsoft Office tools (Word, Excel, PowerPoint, Visio, etc.). Ability to embrace and master new technologies and changing processes. Can work independently with minimal supervision is required, as well as ability to work effectively in a team-oriented atmosphere. Excellent follow-up skills with attention to detail and ability to multi-task, strong leadership skills, strong team-orientation and interpersonal skills, flexibility and strong analytical skills. Strong written/verbal communication skills. Ability to establish rapport and build effective relationships across functions, across regions, and across all levels of management. Motivated self-starter with a strong sense of urgency and possesses the ability to successfully manage multiple requests in a deadline-driven environment. Qualifications: 7 - 10 years’ experience in relevant field Working knowledge on Oracle ERP Procure to Pay suite of modules or similar ERP's Good knowledge on Accounts Payable, Good knowledge on SQL/PL SQL queries Understanding of Oracle data models and integration with other modules Hands on experience in Oracle debugging techniques Excellent problem-solving skills Education: Bachelor’s/University degree or equivalent experience 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: Operations - Core - Job Family: Operations Project Management - 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.

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Senior Specialist - Indirect Procurement Sourcing in Chennai, India. The Senior Specialist will be based in Chennai. Will be responsible for Indirect procurement operations, specialized in handling MRO / EDM / Facilities / Construction / New Building Projects Procurement, RFQ to support factory & GBS operation, execution of the strategic sourcing process and global policy compliance, setup goals and lead team to drive to achieve them, coach and develop talents. What a typical day looks like: Typically requires an Engineering degree in a related field. A minimum of 5 years of material and manufacturing experience, preferably from Manufacturing Industry (Automobile, Electronics Manufacturing) Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups, and/or boards of directors Ability to work with mathematical concepts such as probability and statistical inference to practical situations Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables The experience we’re looking to add to our team: 5 years+ working experience in manufacturing Sector (not service/consultant/trading company) Familiar with international company culture Dedicated role in supply chain management, including 3 years plus working experience in indirect procurement of MRO / EDM Facilities / Construction Projects Financial knowledge and cost management sense Working knowledge in ERP systems What you’ll receive for the great work you provide Health Insurance PTO #RA01 Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Job Description: About US At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview ARQ supports global businesses of the Bank with solutions requiring judgment application, sound business understanding and analytical perspective. The domain experience in the areas of Financial Research & Analysis, Quantitative Modeling, Risk Management and Prospecting Support provide solutions for revenue enhancement, risk mitigation and cost optimization. The division comprising of highly qualified associates operates from three locations i.e. Mumbai, GIFT City, Gurugram and Hyderabad. Job Description Individual should be capable of running technical processes relating to execution of models across an Enterprise portfolio. This will involve familiarity with technical infrastructure (specifically GCP and Quartz), coding languages and the model development and software development lifecycle. In addition, there is opportunity for the right candidates to support the implementation of new processes into target-state, as well as explore ways to make the processes more efficient and robust. Specifically: Manage model execution, results analysis and reporting related to AMGQS models. The Analyst will also work with the implementation team to ensure that this critical function is well controlled Responsibilities Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models. Example of model execution production processes are error attribution, scenario shock, sensitivity, result publication and reporting. Leverage skills in quantitative methods to conduct ongoing monitoring of model performance. Also, possess capabilities in data science and data visualization techniques and tools Identify, analyze, monitor, and present risk factors and metrics to, and integrate with, business partners Proactively solve challenges with process design deficiencies, implementation and remediation efforts Perform operational controls, ensuring consistency and compliance across all functions, including procedures, critical use spreadsheets and tool inventory Assist with enhancing overall governance environment within the Operations space Partner with the IT team to perform system related design assessments, control effectiveness testing, process testing, issue resolution monitoring and supporting the sign-off by management of processes and controls in scope Work with model implementation experts and technology teams to design and integrate Python workflows into existing in-house target-state platform for process execution Requirements : Experience : 3 to 8 years Education: Graduate / Post Graduate from Tier 1 institutes - Bachelor's or master’s degree in mathematics, engineering, physics, statistics, or financial mathematics/engineering Foundational skills* Good understanding in numerical analysis, probability theory, linear algebra, and stochastic analysis Proficiency in Python (numpy, pandas, OOP, unittest) and Latex. Prior experience in git, bitbucket, agile view is a plus Understanding of Credit Risk modelling and processes Integrates seamlessly across complex set of stakeholders, internal partners, external resources Strong problem-solving skills and attention to detail Excellent communication and collaboration abilities Ability to thrive in a fast-paced, dynamic environment and adapt to evolving priorities and requirements. Desired Skills:- Excellent communication and collaboration abilities Work Location: Hyderabad & Mumbai Work Timings: 11am to 8pm IST

Position's Overview Required: The candidate would play the role of an AI/ML Senior Developer/Team Lead participating in Designing, Developing and validating AI/ML solutions levaraging Python / SQL for US Healthcare Customers. Position General Duties and Tasks: Participate in research, design, implementation, and optimization of Machine learning Models Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products Understanding of Revenue Cycle Management processes like Claims filing and adjudication Hands on experience in Python Build data ingest and data transformation platform Identify transfer learning opportunities and new training datasets Build AI models from scratch and help product managers and stakeholders understand results Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Create APIs and help business customers put results of your AI models into operations JD Education Bachelor's in computer sciences or similar. Masters preferred. Skills At least 5 years hands-on programming experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. 3+ years project Experience in Deep Learning/Machine learning, Artificial Intelligence Experience in building AI models using algorithms of Classification & Clustering techniques Expertise in visualizing and manipulating big datasets Strong in MS SQL Acumen to take a complex problem and break it down to workable pieces, to code a solution Excellent verbal and written communication skills Ability to work in and define a fast pace and team focused environment Proven record of delivering and completing assigned projects and initiatives Ability to deploy large scale solutions to an enterprise estate Strong interpersonal skills Understanding of Revenue Cycle Management processes like Claims filing and adjudication is a plus

Renewable Energy Industry Profile -Wind Resource Assessment Engineer Qualification - B.Tech -Renewable Energy, Mechanical , Electrical , Environmental, Meteorology, or a closely related quantitative field. Experience -Min 2-5 years of dedicated experience in Wind Resource Assessment (WRA) for utility-scale wind power projects. Salary - Upto 10 LPA Location - Bengaluru, Karnataka Job Summary: The Wind Resource Assessment (WRA) Engineer will be responsible for conducting comprehensive wind resource analysis for potential and existing wind power project sites. This role involves the full lifecycle of WRA activities, from site selection and mast installation planning to data collection, analysis, energy yield assessment, and reporting, ensuring the accuracy and reliability of wind resource data for project development and investment decisions. Key Responsibilities: Site Selection & Met Mast Planning: * Conduct preliminary site assessments (remote and physical) to identify potential wind farm locations based on wind potential, topography, grid connectivity, and accessibility. * Design and plan the layout and specifications for meteorological (met) masts, including sensor selection (anemometers, wind vanes, temperature, pressure sensors), heights, and data logging systems. * Coordinate with site teams and contractors for the installation and commissioning of met masts. Data Collection & Management: * Oversee and ensure the continuous collection of high-quality wind and meteorological data from met masts and remote sensing devices (e.g., LiDAR, SODAR). * Manage, clean, and validate large datasets, identifying and correcting data gaps or anomalies. * Implement robust data management protocols and ensure data integrity. Wind Resource Analysis & Modeling: * Perform detailed wind resource analysis, including wind speed frequency distributions, wind rose analysis, turbulence intensity, and extreme wind speed analysis. * Utilize industry-standard wind modeling software (e.g., Windographer, WAsP, WindSim, Openwind) for micro-siting, flow modeling, and long-term wind resource correlation. * Conduct terrain analysis, roughness assessment, and wake effect modeling. Energy Yield Assessment (EYA): * Prepare comprehensive energy yield assessments (EYA) for proposed wind farm layouts, considering various wind turbine models, site-specific conditions, and array losses. * Perform uncertainty analysis and calculate P50, P75, P90, and other probability exceedance levels for energy production. * Provide inputs for financial modeling and project feasibility studies. Reporting & Documentation: * Generate detailed WRA reports, energy yield assessment reports, and technical memos for internal stakeholders and external investors/lenders. * Maintain an organized repository of all WRA data, models, and reports. Technology & Industry Trends: * Stay abreast of the latest advancements in wind measurement technologies, forecasting techniques, and industry best practices for wind resource assessment. * Evaluate new software and methodologies to enhance WRA capabilities. Cross-Functional Collaboration: * Collaborate closely with Project Development, Engineering, Grid Interconnection, and Finance teams to provide critical wind resource inputs for project design, layout optimization, and financial modeling. REQUIRED * Proven proficiency in industry-standard WRA software such as Windographer, WAsP, WindSim, Openwind, or similar tools. * Strong understanding of wind measurement techniques, met mast design, sensor calibration, and data acquisition systems. * Solid knowledge of atmospheric science, fluid dynamics, and their application to wind resource modeling. * Experience with GIS tools (e.g., ArcGIS, QGIS) for site mapping and spatial analysis is a plus. Coordinate With . DCS Group Email - hr@indiadcs.in 6375367126 (Call & whatsApp) Job Types: Full-time, Permanent Pay: Up to ₹1,000,000.00 per year Benefits: Health insurance Provident Fund Application Question(s): Proven proficiency in industry-standard WRA software such as Windographer, WAsP, WindSim, Openwind, or similar tools. Education: Bachelor's (Preferred) Experience: Wind Resource Assessment (WRA): 3 years (Required) wind power projects.: 3 years (Required) Work Location: In person

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Senior Specialist - Indirect Procurement Sourcing in Chennai, India. The Senior Specialist will be based in Chennai. Will be responsible for Indirect procurement operations, specialized in handling MRO / EDM / Facilities / Construction / New Building Projects Procurement, RFQ to support factory & GBS operation, execution of the strategic sourcing process and global policy compliance, setup goals and lead team to drive to achieve them, coach and develop talents. What a typical day looks like: Typically requires an Engineering degree in a related field. A minimum of 5 years of material and manufacturing experience, preferably from Manufacturing Industry (Automobile, Electronics Manufacturing) Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups, and/or boards of directors Ability to work with mathematical concepts such as probability and statistical inference to practical situations Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables The experience we’re looking to add to our team: 5 years+ working experience in manufacturing Sector (not service/consultant/trading company) Familiar with international company culture Dedicated role in supply chain management, including 3 years plus working experience in indirect procurement of MRO / EDM Facilities / Construction Projects Financial knowledge and cost management sense Working knowledge in ERP systems What you’ll receive for the great work you provide Health Insurance PTO #RA01 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Job Description Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular. Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4) Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Usecase derivation and solution creation from structured/unstructured data Storytelling, Business Communication and Documentation Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning, and Model performance metrics MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure and Databricks Optional - Databricks, Big Data -Basic knowledge of Spark, Hive Roles & Responsibilities Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills Develop Cloud based applictions including LLM/GenAI and deploy them into production.

As a strategist within the Securities Division at Goldman Sachs, you will have a significant impact on the trading floor. Your responsibilities may include developing cutting-edge derivative pricing models, creating empirical models to gain insights into market behavior, and designing automated trading algorithms for the firm and its clients. You will be engaged in analyzing exposures, structuring transactions to meet client requirements, and contributing to the development of complex parallel computing architectures, electronic trading tools, and advanced algorithms. Strategists throughout the Securities Division utilize quantitative and technological methods to address intricate business challenges. The core focus of our team is to establish strong relationships with our institutional clients, encompassing corporations, financial service providers, and fund managers. We assist them in trading financial products globally, raising funds, and managing risks. The team operates in a dynamic and entrepreneurial environment, with a passion for the markets and a preference for fast-paced, constantly changing settings, energized by the vibrant trading floor. The Prime Services Strat Team - Funding/Inventory Management is an integral part of the Prime Brokerage and Clearing Services groups within the Securities Division at Goldman Sachs. The team plays a crucial role in driving strategic business decisions and overseeing essential systems across various key areas. Specifically, the funding/inventory management strats collaborate with securities lending and the synthetic product desk to execute transactions and manage risks. This role involves building and maintaining real-time, scalable trading platforms, inventory management systems, and funding platforms while systematically identifying trade opportunities. Despite being structured in distinct teams and geographic locations, we pride ourselves on our global teamwork and collaborative approach to finding solutions that drive our business success worldwide. Our team members come from diverse quantitative, academic, and cultural backgrounds, which enables us to devise innovative solutions for our intricate business challenges. Joining our expanding team presents an exciting opportunity for individuals seeking an entrepreneurial role that allows them to apply their strong quantitative, engineering, and communication skills to solve real-world problems. As a member of the funding/inventory management strat team, you will collaborate across functions to develop scalable and robust platforms for optimizing and automating inventory management decisions, enhancing the client offering in physical and synthetic Prime Brokerage. Basic Qualifications: - Strong academic background in Mathematics, engineering, computer science, or economics with a quantitative understanding of statistics and probability - Proficiency in a modern programming language (C++, Python, Java, or equivalent) and familiarity with object-oriented design principles - Ability to work effectively in a global team environment and deliver results promptly - Capacity to solve technical challenges and articulate concepts to non-technical audiences Preferred Qualifications: - Excellent written and verbal communication skills - Knowledge of financial markets, particularly in delta products and financial mathematics - Proven track record of building scalable systems with defined SLAs in a financial context - Entrepreneurial mindset Goldman Sachs is committed to leveraging its resources and expertise to support clients, shareholders, and communities in their growth. Established in 1869, the firm is a prominent global investment banking, securities, and investment management entity with headquarters in New York and offices worldwide. The firm places a strong emphasis on diversity and inclusion, fostering an environment where every individual has ample opportunities for personal and professional growth. Through comprehensive training, development initiatives, firmwide networks, and diverse benefits, Goldman Sachs aims to empower its employees to reach their full potential. Learn more about the firm's culture, benefits, and people at GS.com/careers. Goldman Sachs is dedicated to providing reasonable accommodations for candidates with special needs or disabilities during the recruitment process. For more information, visit: https://www.goldmansachs.com/careers/footer/disability-statement.html The Goldman Sachs Group, Inc., 2023. All rights reserved.,

Job Description Unlock your potential as an experienced audit professional with our Commercial and Investment Banking audit team. Job Summary As a Commercial and Investment Banking Senior Audit Associate in our Internal Audit team based in Mumbai, you will provide coverage of Commercial and Investment Banking Securities Services business activities, including Custody, Fund Accounting, Trade Processing and Settlement, Liquidity and Trading Services, and Transfer Agency, by evaluating the adequacy and effectiveness of the control environment across regions. This will be accomplished through a risk-based audit coverage program, managed and executed by a team of business and technology audit specialists. You will be involved in audit engagements, performing and documenting audit testing, and partnering closely with global Audit colleagues and business stakeholders. The role will require you to use your judgment to enhance internal controls, and offer you the chance to gain a comprehensive understanding of key Commercial and Investment Banking central functions and controls, and the related regulatory landscape. Job Responsibilities Participate in all aspects of audit activities including risk assessments, audit planning, audit testing, control evaluation, issue drafting, and follow up and verification of issue closure, in close partnership with and support of senior auditors and /or audit managers, and ensuring audit assignments are completed timely and within allocated budget Work closely with Commercial and Investment Banking Audit colleagues in the early identification of emerging control issues and reporting them timely to Audit management and business stakeholders while adhering to audit standards Develop recommendations to strengthen internal controls and improve operational efficiency Take ownership of self-development, including stretch assignments, to prepare for greater responsibilities and career growth, and take initiative to seek out opportunity for continued learning Build and maintain strong working relationships with stakeholders, business management, other control groups while maintaining independence Stay up-to-date with evolving industry / regulatory changes and market events impacting the business and demonstrate technical competency. Required Qualifications, Capabilities And Skills Minimum 7 years of internal or external auditing experience Minimum Bachelor's degree (or relevant financial services experience) Ability to operate as an effective auditor, with a solid understanding of internal controls and the ability to evaluate and determine the adequacy of controls for a given set of risks Experience with internal audit methodology and applying concepts in audit delivery and execution Excellent written, verbal, and presentation skills; adept at presenting complex and sensitive issues to senior management Strong interpersonal and influencing skills, with the ability to establish credibility and build partnerships with senior business and control partners, while also influencing the actions of the business to improve its control environment Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness Proven ability to multi-task and prioritize effectively, and drive efficiency with existing technical infrastructure through automation, while embracing the innovative opportunities offered by new technologies Enthusiastic, self-motivated, effective under pressure and willing to take personal risk and accountability Ability to work well individually, and in teams, share information, support colleagues and encourage participation. Preferred Qualifications, Capabilities And Skills Chartered Accountant or equivalent, Certified Internal Auditor, and/or Advanced Degree in Finance or Accounting Relevant working experience in Investment Banking business 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. The Audit department provides independent assessments to evaluate, test and report on the adequacy and effectiveness of our governance, risk management and internal controls. The team’s priorities are focused on strong governance, transparency, strategic engagement, and fostering a diverse and inclusive culture that develops our talent.

As a Data Scientist at Clari5.ai, you will be an integral part of our specialist team dedicated to Artificial Intelligence & Machine Learning. Your role involves defining, prototyping, and implementing data science models and algorithms that contribute to our innovative product. From data collection to model building to monitoring the model in production, you will take ownership of the entire process. Collaborating with product managers and domain experts, you will drive the business outcomes and metrics influenced by the data science solutions. Working closely with the product managers and engineering team, you will establish best practices and standards for the team. Additionally, you will have the opportunity to mentor junior colleagues and conduct internal workshops to foster a culture of data-driven decision making within the organization. To excel in this role, you should have 3-8 years of experience in model building, along with a strong foundation in mathematics relevant to data science such as probability, statistics, and linear algebra. Your ability to translate business challenges into technical problems solvable through data, mathematics, statistics, and machine learning is crucial. Previous experience in executing 2-3 end-to-end machine learning projects is essential. Proficiency in either R or Python is a must, coupled with hands-on experience working with SQL databases. Familiarity with handling large datasets from diverse sources is advantageous, as is a conceptual understanding of big data technologies like Hadoop, HDFS, and Spark. Prior exposure to Natural Language Processing, Recommender Systems, or Social Network Analysis will be highly valued. In terms of education, a Bachelor's degree or equivalent combination of education with at least 3 years of experience is required. A Bachelor's degree in Computer Science or a Master's in Mathematics/Statistics is preferred. Join us at Clari5, an industry leader in Financial Crime Risk Management Systems, recognized for our innovative solutions and expertise in combating financial fraud. Be part of a dynamic global team driving real-time, cross-channel banking Enterprise Fraud Management using cutting-edge AI technology. If you are passionate about data science and eager to contribute to a market-leading organization, we invite you to apply and become a key player in our mission to revolutionize fraud management strategies worldwide.,

Job Title: Python / AI-ML Developer Experience Required: 2–5 Years Location: Kolkata Job Type: Full-time Job Summary: We are looking for a passionate and skilled Python / AI-ML Developer with 2–5 years of experience to join our data science and engineering team. The ideal candidate will be responsible for building intelligent solutions, designing machine learning models, and developing scalable Python-based systems. This role offers the opportunity to work on real-world data-driven projects with a focus on innovation and performance. Key Responsibilities: Design, build, and deploy machine learning models and AI-driven solutions. Write clean and efficient Python code for data preprocessing, model training, and evaluation. Work with large datasets to extract insights and create predictive models. Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders. Deploy models into production using REST APIs or cloud services. Monitor and retrain models to ensure accuracy and efficiency over time. Research and experiment with new algorithms and AI techniques Required Skills and Qualifications : 2–5 years of hands-on experience in Python development with a focus on AI/ML. Solid understanding of machine learning algorithms (supervised, unsupervised, deep learning). Experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, or XGBoost. Proficient in data handling using Pandas, NumPy, and data visualization tools like Matplotlib or Seaborn. Experience in training, evaluating, and tuning models using appropriate metrics. Strong foundation in mathematics and statistics (linear algebra, probability, optimization). Familiarity with REST APIs and model deployment strategies. Experience with Git and collaborative development Preferred Qualifications: Bachelor's or master’s degree in computer science, Data Science, AI, Engineering, or a related field. Experience with cloud platforms (AWS, Azure, GCP) and ML Ops tools. Exposure to Natural Language Processing (NLP), Computer Vision, or Recommendation Systems. Knowledge of Big Data tools (Spark, Hadoop) is a plus. Understanding of CI/CD pipelines and containerization using Docker/Kubernetes

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

3+ years of overall Gen AI/ AI ML development experience. Exposure on Python, Vertex AI, Tensor flow, DocAI, GKE, Cloud Functions, Serverless, Cloud Run, Terraform, Lang chain, Vector DB, One Few Short Learning, Gemini FM, notebooks, NLP, OCR, NER, RAF, LLM. Impeccable analytical and problem-solving skills 4+ years of strong hands-on experience as Python Developer. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras or PyTorch Familiarity with data structures, data modeling, and software architecture Excellent time management and organizational skills Desire to learn. Excellent communication and collaboration skills Innovative mind with a passion for continuous learning General knowledge of building machine learning systems Bachelors degree (or equivalent) in computer science, mathematics, or related field

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target? Work on advanced analytics and data science projects that directly impact Target’s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Target: https://india.target.com/ Benefits: https://india.target.com/life-at-target/workplace/benefits

Role: Senior Principal - Data Scientist Position overview Work in an innovative and fast paced AI application development team to conceptualize and execute projects to leverage the power of AI/ML and analytics. The work will be related to producing business outcomes for Cloud and Cybersecurity products and services of Novamesh, a wholly owned subsidiary of Tata Communications Ltd. Success in this role requires a mix of data science skills, appreciation of the business, and ability to work across teams. A special focus area of this role would be to identify and execute ideas for creating monetizable product differentiators by working with Domain Experts from individual product teams and acquire domain skills in the process. Detailed job description Develop, Test, and Deploy ML/AI models for various products 10 to 12 Years of industry experience with demonstratable outcomes in field of Data Science Perform data preprocessing, feature engineering and ML/DL model evaluation Optimize and fine-tune models for performance and scalability Good understanding of Statistical, ML, AI models Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT Build and refine RAG models to improve information retrieval and answer generation. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Document processes, methodologies, and model development for internal and external stakeholders. Go-getter attitude and will to “Make it happen" Qualification and Skills Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions. Strong knowledge of probability and statistics. Expertise in machine learning and deep learning skills Hand on experience with GenAI, LLMs and SLMs Strong programming skills Python, PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex , OpenAI SQL, flat file DB, Datalakes, data stores, data frames (Pandas, Cudf etc.) Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Good knowledge of Data Engineering and working knowledge of the same Excellent problem-solving skills and a proactive attitude. Excellent communication skills and teamwork abilities.

Skills: Should have depth knowledge of Python, Data Analytics,Machine Learning,Deep Learning,R and NLP Text etc. Candidate should have Good Communication Skills Should be able to handle End to End Training - Course Content Preparation, Material Preparation, Interview Questions, Mock Interviews, Live Projects Explanation etc. Should have experience in giving training through online Platform i.e Skype,Webinars, GoTo Meeting etc. Strong background in one or more of: Deep Learning, Machine Learning, Natural Language Processing, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence Strong experience using one of the following open-source frameworks: TensorFlow, MXNet, Theano, Keras, Jupyter and Caffe Strong hands-on coding expertise with C/C , Python, Scala, Lua, MATLAB, or any proficient AI language of choice A mathematical, statistical, and probability inclination and deep understanding of AI concepts Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Education: Bachelor's (Preferred)

About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods. Entrupy's solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy's solutions in market: Entrupy Luxury Authentication Entrupy Sneaker Authentication Entrupy Fingerprinting As we continue to build... We're seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world — we'd love to have you apply. About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods. Entrupy's solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan, and Brazil. Entrupy's solutions in the market: Entrupy Luxury Authentication Entrupy Sneaker Authentication Entrupy Fingerprinting As we continue to build... We're seeking curious, growth-minded thinkers to help shape our vision, structures, and systems; playing a key role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world, we'd love to have you apply. About the role We are seeking a Machine Learning Engineer Intern to contribute to the development of computer vision algorithms focused on item authentication and fingerprinting. In this role, you will support the research, development, and deployment of algorithms and models aimed at accurately determining the authenticity of items through the analysis of their unique visual characteristics and assigning unique digital identities based on image data. You will also assist in refining the image capture experience on edge devices and contribute to ensuring model interpretability. Reports to: ML Lead Location: Remote or Hybrid in Bangalore, India What You'll Do: Algorithm Research & Support: Assist in researching, designing, and training computer vision models for authentication, fingerprinting, image capture, and other customer-centric computer vision applications. Code Quality & Testing: Write clean, modular, and well-tested code. Develop unit and integration tests to maintain high standards of code quality and reliability. Participate in code reviews, contributing to pull requests and collaborating with team members. Model Deployment Support: Provide support in building and maintaining APIs to efficiently deploy models in production. Continuous Learning: Stay current with advancements in Computer Vision and Machine Learning. Collaboration: Work with internal teams to understand needs and gather feedback on algorithm performance. Documentation: Contribute to clear and concise documentation of algorithms and models. Who you are: Currently pursuing a Bachelor's or Master's degree in Electronics, Physics, Computer Science, or a related field. Foundational understanding of Computer Vision algorithm development. Familiarity with Python. Basic understanding of PyTorch and OpenCV. Strong foundational skills in probability & statistics, calculus, geometry, optimization, and linear algebra. Ability to rapidly acquire new skills and technologies. Strong problem-solving skills and attention to detail. Willingness to contribute to code reviews and collaborate with peers. What we offer Market competitive and pay equity-focused compensation structure Opportunities to gain hands-on experience in cutting-edge computer vision solutions. A collaborative, mission-driven work culture with direct product impact. Mentorship from experienced Machine Learning Engineers. Flexible hybrid work environment. Opportunities to learn about deploying models on edge devices. We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. If you are a passionate and eager individual looking to kickstart your career in Computer Vision and Machine Learning, we'd love to connect! Entrupy embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data engineers to ensure the availability and quality of data for model training. Deploy machine learning models into production environments. Collaborate with cross-functional teams to integrate models into existing systems. Continuously optimize and improve the performance of machine learning models. Stay updated on the latest advancements in ML algorithms and technologies. Work closely with software engineers to ensure seamless integration of AI/ML solutions. Collaborate with clients to understand their business requirements and customize solutions accordingly. Technical Skills Excellent programming skills with the ability to implement complex algorithms in Python or R. Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models. Strong experience of minimum 5 years in developing and implementing machine learning algorithms. Experience with model deployment and integration into production systems. Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras. Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance. Ability to collaborate effectively with cross-functional teams. Previous experience working on real-world AI/ML projects. Should be focused on linear algebra, machine learning, and statistics & probability are preferred. Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills.