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JOB_POSTING-3-71378-2 Job Description Role Title: Manager, Model Risk Management (L09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony’s Risk team is the place to be. Role Summary/Purpose The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. Key Responsibilities Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues. Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics. Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management Support in additional book of work or special projects as in when required. Required Skills/Knowledge Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models. Understanding of quantitative analysis methods or approaches in relation to credit risk models. Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data Desired Skills/Knowledge 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Ability to apply analytical skills to solve problems creatively. Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. Be self-motivated, act promptly and effectively when assigned tasks. Excellent written and oral communication and presentation skills. Eligibility Criteria Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, PIP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Credit Show more Show less

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance. Everyone is focused on serving the customer and we do that by collaborating and supporting each other Associates look forward to coming to work each day Every associate matters and makes a difference It is truly a culture like no other — We hope you will join our team! Find out more about our company and culture here. TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity solutions to many of the largest health systems in the US. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital purchasing decisions and usage, improving caregiver satisfaction and productivity, maximizing resources for patient care, and delivering improved patient safety & protection. Health systems in the US spend, on average, 30% of their annual capital budget dollars on clinical assets, representing more than $200 billion of annual US sales, forecasted to grow at a CAGR of more than 5% in the next decade. Industry data solutions to assist providers in rationalizing their clinical asset utilization and purchasing decisions are limited, forcing providers to rely heavily on equipment manufacturers for advice and insight. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States and an industry-leading data set of more than 6 million medical device records. A recent study by Fortune states that global healthcare asset management market is estimated to be $215B by 2032 with a CAGR of 25.3%. The United States is the largest single market for medical devices and accounts for about 40 percent of worldwide sales (BMI Research 2015). We are looking for the Chief Data Scientist who can accelerate our growth as a thought leader in Data Science, Research, and application of models to solve complex business problems. This person will lead the Company’s efforts to create a data science practice dedicated to harnessing this proprietary data set to support commercialization of novel new market solutions to enable providers to make informed decisions regarding their clinical asset investments and utilization. This role will be one of the most prominent voices in the global medical device industry. As the Chief Data Scientist, you will be responsible for leading TRIMEDX data and AI architecture and design to help our customers increase their clinical asset utilization and reduce cost to operate. You will design our enterprise-wide AI and Machine Learning initiatives. This new role will be instrumental in shaping and implementing our AI roadmap, driving innovation through advanced data modeling, and applying automation to optimize operations across diverse data ecosystems. It involves orchestrating Agentic AI across multiple SaaS infrastructures, including, but not limited to, Snowflake, Azure, ServiceNow, and Looker. In this role, you will work with senior executives and customers to arrive at solutions that significantly lift their business and accelerate the growth. Key Responsibilities You are a strategic leader that has defined enterprise AI/ML platforms with a strong focus on LLMs, generative AI, and predictive modeling. You will implement model-driven features from initial concept to production, covering all stages including model creation, evaluation, performance metrics, A/B testing, drift monitoring and self-correction with feedback loops. You will coach and train talented engineers in their career growth and set an example for data and AI organization. Your experience is building pricing models, forecasting, smart work assignment are preferred. You stay at the forefront of AI/ML research and emerging technologies; evaluate and integrate cutting-edge tools and frameworks. You will foster a culture of experimentation and continuous learning within the data science team. You will create high levels of engagement across teams in partnership with other key leaders within broader teams. Skills And Experience Minimum of 12 years of experience in computer science, data science, Statistics or related field. Experience preference in machine learning, data analytics or related disciplines with a focus on algorithmic product development. Deep expertise in statistics, econometrics, predictive analytics, and related disciplines. Working experience with modeling tools and languages such as Python, PyTorch, JAX, Tensorflow, SQL, and experience deploying production models on clouds platforms (AWS, Azure, GCP). Must have demonstrated experience leading data driven initiatives. Experience leading people is preferred. Demonstrated experience with multi-modal LLMs. Experience with A/B testing and cocreate MLOps practice for systemic application and maintenance of the models. Hands on experience deploying high impact, high Throughput, highly scalable, multi-modal ML models in Azure. Experience in data analysis using different types of datasets with statistics and predictive modeling foundations, including PC and foundation models. Experience creating patents and publications and / or speaking at top conferences such as CVPR (Computer Vision and Pattern Recognition Conference), IEEE (The Institute of Electrical and Electronics Engineers), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), NeurIPS. Successful and proven experience to collaborate and deliver results in a fast paced, multifaceted, matrix environment. Proven success at working with abstract ideas and solving complex problems while driving collaboration across various teams. Ability to be hands-on when necessary as well as strategic is required. Excellent public speaking and presentation skills; strong written and verbal communication skills. Ability to travel up to 50%. Education And Qualifications Bachelor’s degree in Statistics, Economics or related field is required, or equivalent experience. Master’s degree or Ph.D. in Statistics or Economics is highly preferred. At TRIMEDX, we support and protect a culture where diversity, equity and inclusion are the foundation. We know it is our uniqueness and experiences that make a difference, drive innovation and create shared success. We create an inclusive workplace by actively seeking diversity, creating inclusion and driving equity and engagement. We embrace people’s differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our website to view our full Diversity, Equity and Inclusion statement, along with our social channels to see what our team is up to: Facebook , LinkedIn , Twitter . TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours. Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? , AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Analyst – Junior Data Scientist Location: Bangalore Reporting to: Manager Analytics Purpose of the role Key Tasks & Accountabilities Execute coding skills to develop ML/time-series models. Focus on developing end-to-end analytical solution and present them to business partners/stakeholders. Should have consultative mindset to come up with solutions that can be easily understood and interpreted by business users. Research on the newer technologies and algorithms, to provide better solutions to the current problems. Interact and manage expectations of multiple stakeholders, building compelling narratives and help drive value for businesses by helping them strengthen brands on ground. Qualifications, Experience & Skills Level Of Educational Attainment Required Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science Previous Work Experience Bachelor’s degree with minimum 2 years of Data Science experience Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others) Strong programming skills with working knowledge of SQL, Python. Excellent problem-solving and analytical mindset Strong communication and interpersonal skills Strong story boarding skills And above all of this, an undying love for beer! We dream big to create future with more cheers Show more Show less

Who Are We Looking For We are seeking a skilled and motivated RF engineer with a focus on drone and anti-drone technologies. The ideal candidate will have a strong background in RF systems design, testing, and integration, specifically in applications related to unmanned aerial vehicles (UAVs) and counter-UAV solutions. This role involves working closely with cross-functional teams to design, develop, and implement cutting-edge RF solutions that address emerging challenges in drone and anti-drone systems. What You Will Be Doing Key Responsibilities RF Design & Development: Design and simulate RF circuits and subsystems, including amplifiers, filters, mixers, oscillators, and antennas for drone communication and counter-drone technologies. Signal Analysis: Analyze RF signals for detection, identification, and tracking of UAVs, ensuring optimal system performance in diverse environments. System Integration: Integrate radar and RF subsystems into larger platforms, ensuring seamless performance and interoperability. Testing & Validation: Conduct lab and field tests for RF systems, troubleshooting performance issues and implementing necessary optimizations. R&D: Research and develop new RF technologies to enhance drone communications and counter-drone capabilities. Collaboration: Work closely with software, hardware, and system engineering teams to ensure seamless integration of RF systems. Compliance & Documentation: Ensure systems meet regulatory standards and prepare technical documentation, including test reports, system designs, and user manuals. Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field. 3-4 years of experience in RF system design, development, and testing, preferably in drone and/or anti-drone projects. Proficiency in RF simulation tools (e.g., HFSS, CST, ADS) and test equipment (e.g., spectrum analyzers, network analyzers, signal generators). Strong understanding of antenna design, propagation models, and RF circuit design. Experience with communication protocols and technologies used in UAVs, such as LoRa, Wi-Fi, GPS, or SDRs (Software-Defined Radios). Familiarity with counter-drone techniques, including RF jamming and spoofing. Knowledge of EMI/EMC compliance standards and mitigation techniques. Strong analytical and problem-solving skills with attention to detail. Bonus Points for Familiarity with What We Offer A dynamic work environment with opportunities to work on cutting-edge technologies. Collaborative and innovative team culture. Professional growth and development opportunities. Competitive compensation and benefits package. Educational Requirement Preferred Qualifications Knowledge of antenna design and characterization. Familiarity with AI/ML applications for RF signal processing. Experience in developing software for RF systems using Python, MATLAB, or similar tools. Experience with radar systems for specific applications (e.g., automotive, defense, weather monitoring). Working Days Monday - Friday Show more Show less

Job Title: Academic Coordinator – Electronics & Technology ProgramsLocation: [Cuffe parade,Mumbai] Department: Academic Operations Job Type: Full-Time Job Overview:We are seeking a dynamic and technically sound Academic Coordinator with a strong background in Electronics, IoT, and Software Technologies to join our academic team. The ideal candidate will coordinate and support the planning, execution, and quality assurance of programs across our partner institutions. The role involves teacher training, student project mentoring, curriculum planning, demo support, and stakeholder communication. Key Responsibilities:Coordinate the academic delivery of electronics, IoT, AI, and software-focused curriculum modules. Support faculty members in training and project implementation using tools like Python, Power BI, Arduino, Node.js, etc. Guide students in building hands-on tech projects, including those related to medical imaging, solar energy, and smart systems. Serve as a liaison between academic teams, school management, and internal stakeholders. Plan and execute training sessions for teachers and students on using modern tech tools and platforms. Maintain academic reports, assist with assessments, and ensure timely feedback is shared with mentors and students. Support demo sessions, events, bootcamps, and school exhibitions as a presentable front-facing representative of the company. Candidate Requirements:Bachelor’s degree in Electronics, Information Technology, Computer Science, or related field. Solid technical foundation in coding (Python, JavaScript, Java), databases (MySQL, MongoDB), and web development. Understanding of electronics and IoT tools gained via academic or internship experience. Strong communication and presentation skills in English . Proven teamwork, leadership, and time management abilities. Passion for education, innovation, and working with young learners. Experience with academic coordination or ed-tech delivery is a plus. Preferred Skills (Bonus):Familiarity with Power BI, Python-based projects, AI/ML tools, and chatbot development. Exposure to student mentorship, STEM fairs, or project exhibitions. Ability to handle multi-school coordination, remote planning, and academic reporting. Why Join Us?Work in a fast-growing ed-tech organization shaping the future of school innovation labs. Collaborate on cutting-edge education projects in AI, robotics, IoT, and software. Gain exposure to real-world educational transformation across India’s school network. Supportive team culture that values growth, learning, and creativity. To Apply: Send your CV and a short statement of interest to [hr@thecminds.com] with subject line “Academic Coordinator – Electronics”.

Who We Are As a Company GoKwik was founded in 2020 with one simple mission, to democratize the shopping experience and increase the GMV realization for e-commerce businesses. The company has raised Series B Funding & is backed by Sequoia Capital India, Matrix Partners India, RTP Global Think Investments and marquee angels. GoKwik is an e-commerce enablement company focussed predominantly on solving crucial e-commerce issues like boosting conversion rates across the e-commerce funnel and reducing RTO for our partners. It leverages AI/ML technologies to solve hard-hitting problems like RTO to increase CoD conversion rates. GoKwik's 1-click Kwik checkout improves checkout conversion rates ensuring higher GMV realization and reduced marketing CAC. What we do is very unique with zero immediate competition in India today and therefore, building a team of Real Rockstars in their field to fuel this profit making start-up, which is growing at a rapid pace. Summary At GoKwik We are looking for an enthusiastic Sales Ninja who would be responsible to generate revenue through Enterprise Segment . Major responsibilities will include ensuring the achievement of sales targets in terms of revenues, volumes, and market share. The incumbent will create and maintain profitable business for their respective zones You’ll Spend Time On The Following Responsible to drive revenue in the respective zones from the Enterprise segment with multiple product offerings. Achieve sales targets in line with the target established for the area in terms of revenues & volumes. Work with cross-functional teams and other relevant stakeholders to manage the business requirements. Responsible for their target achievement towards the Business. Ensure long-term relationships with current and prospective partners. Speaking with business owners, CEO, CXO, decision makers & explaining the product Understanding the requirement of B2B customers & demonstrating the services along with value proposition. We’re Excited About You If You Have Work experience in B2C product sales in Shipping & Logistics. Prior experience influencing C-level executives. Previous responsibility for strategic business development, revenue targets and quotas is highly desirable. Deep understanding of the Enterprise sales in India. Ability to deal with ambiguity in a fast-paced target focused environment. Experience selling nascent (embryonic/start-up) products/services into new markets is desirable. Some Important Traits – We look out for a Person in this role Independent, resourceful, analytical, and able to solve problems effectively Ability to be flexible, agile, and thrive in chaos Excellent oral and written communication skills Our Core Values Merchant Obsession (Merchant First) Innovation Talent Show more Show less

About Us GoKwik was founded in 2020 with one simple mission, to democratize the shopping experience and increase the GMV realization for e-commerce businesses. The company is backed by Sequoia Capital India, Matrix Partners India, RTP Global, and marquee angels. GoKwik is an e-commerce enablement company focussed predominantly on solving crucial e-commerce issues like boosting conversion rates across the e-commerce funnel and reducing RTO for our partners. It leverages AI/ML technologies to solve hard-hitting problems like RTO to increase CoD conversion rates. GoKwik's 1-click Kwik checkout improves checkout conversion rates ensuring higher GMV realization and reduced marketing CAC. Key Responsibilities You will act as a coach for our customers. Your coaching efforts will support our customers in our products and solutions in ways that add value for their businesses, ultimately supporting our customers in their strategic goals Work experience in B2C product in Shipping & Logistics. Conduct product reviews - QBR's MBR's Engage with users to improve their ability to utilize our products and solutions to derive insights and support business decisions Partner closely with product teams to create new features that best serve our customers Research and deliver solutions for complex problems and respond to inquiries Identify areas of improvement, track project & task updates, and identify clients at risk of churning Upsell, Crosssell and Create strategies to increase adoption across different products. Experience Range 3-6 years experience as a CSM managing enterprise accounts Our Core Value Cultures Merchant’s First Talent Innovation Show more Show less

JOB_POSTING-3-71378-5 Job Description Role Title: Manager, Model Risk Management (L09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony’s Risk team is the place to be. Role Summary/Purpose The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. Key Responsibilities Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues. Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics. Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management Support in additional book of work or special projects as in when required. Required Skills/Knowledge Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models. Understanding of quantitative analysis methods or approaches in relation to credit risk models. Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data Desired Skills/Knowledge 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Ability to apply analytical skills to solve problems creatively. Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. Be self-motivated, act promptly and effectively when assigned tasks. Excellent written and oral communication and presentation skills. Eligibility Criteria Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, PIP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Credit Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description DATA SCIENTIST Job Summary This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. Responsibilities Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. Qualifications Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Last Day Posted - 2/25/2024 Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Job Description: Machine Learning Engineer - US Healthcare Claims Management Position: MLOps Engineer - US Healthcare Claims Management Location: Gurgaon, Delhi NCR, India Company: Neolytix About the Role: We are seeking an experienced MLOps Engineer to build, deploy, and maintain AI/ML systems for our healthcare Revenue Cycle Management (RCM) platform. This role will focus on operationalizing machine learning models that analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. Key Tech Stack: Models & ML Components: Fine-tuned healthcare LLMs (GPT-4, Claude) for complex claim analysis Knowledge of Supervised/Unsupervised Models, Optimization & Simulation techniques Domain-specific SLMs for denial code classification and prediction Vector embedding models for similar claim identification NER models for extracting critical claim information Seq2seq models (automated appeal letter generation) Languages & Frameworks: Strong proficiency in Python with OOP principles - Experience developing APIs using Flask or Fast API frameworks – Integration knowledge with front-end applications – Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - Proficiency in databases, including SQL, NoSQL and vector databases – Experience with Azure Libraries: PyTorch/TensorFlow/Hugging Face Transformers Key Responsibilities: ML Pipeline Architecture: Design and implement end-to-end ML pipelines for claims processing, incorporating automated training, testing, and deployment workflows Model Deployment & Scaling: Deploy and orchestrate LLMs and SLMs in production using containerization (Docker/Kubernetes) and Azure cloud services Monitoring & Observability: Implement comprehensive monitoring systems to track model performance, drift detection, and operational health metrics CI/CD for ML Systems: Establish CI/CD pipelines specifically for ML model training, validation, and deployment Data Pipeline Engineering: Create robust data preprocessing pipelines for healthcare claims data, ensuring compliance with HIPAA standards Model Optimization: Tune and optimize models for both performance and cost-efficiency in production environments Infrastructure as Code: Implement IaC practices for reproducible ML environments and deployments Document technical solutions & create best practices for scalable AI-driven claims management What Sets You Apart: Experience operationalizing LLMs for domain-specific enterprise applications Background in healthcare technology or revenue cycle operations Track record of improving model performance metrics in production systems What We Offer: Competitive salary and benefits package Opportunity to contribute to innovative AI solutions in the healthcare industry Dynamic and collaborative work environment Opportunities for continuous learning and professional growth To Apply: Submit your resume and a cover letter detailing your relevant experience and interest in the role to vidya@neolytix.com Powered by JazzHR aAuhzbQDU5 Show more Show less

Join us as a Principal Engineer This is a challenging role that will see you design and engineer software with the customer or user experience as the primary objective With your software development background, you’ll be working with architects to help define major components of the business-wide target architecture and roadmap You’ll gain valuable senior stakeholder exposure as well as the opportunity to hone your technical talents and leadership skills We're offering this role at director level What you'll do As a Principal Engineer, you’ll be creating great customer outcomes via engineering and innovative solutions to existing and new challenges, and technology designs which are innovative, customer centric, high performance, secure and robust. You’ll be leading the more significant, complex and technically challenging assignments, coordinating multiple feature teams, making sure that their technical journeys support realisation of the targets, and deliver the values of the relevant metrics published to our investors. You’ll Also Be Defining, creating and providing oversight and governance of engineering and design solutions with a focus on end-to-end automation, simplification, resilience, security, performance, scalability and reusability Working within a platform or feature team along with software engineers to design and engineer complex software, scripts and tools to enable the delivery of bank platforms, applications and services, acting as a point of contact for solution design considerations Defining and developing architecture models and roadmaps of application and software components to meet business and technical requirements, driving common usability across products and domains Influencing the development of strategies and architecture at domain and enterprise levels, identifying transformational opportunities for the businesses and technology areas The skills you'll need You’ll come with significant experience in software engineering, software or database design and architecture, as well as experience of developing software within a DevOps and Agile framework. Along with an expert understanding of the latest market trends, technologies and tools, you’ll bring significant and demonstrable experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance. You’ll Also Need Proven proficiency in Java, .net, Python, Angular A strong background in cloud platform such as AWS A background of working with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, MLflow Significant and demonstrable experience of test-driven development and using automated test frameworks, mocking and stubbing and unit testing tools The ability to rapidly and effectively understand and translate product and business requirements into technical solution Show more Show less

Join Barclays as a Senior Data Engineer. At Barclays, we are building the bank of tomorrow. As a Strategy and Transformation Lead you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional Relevant Skills Given Below Are Highly Valued Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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Step into role of a Senior Data Engineer. At Barclays, innovation isn’t encouraged, its expected. As a Senior Data Engineer you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional Relevant Skills Given Below Are Highly Valued Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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Description About Ness Digital Engineering: Ness Digital Engineering is a global provider of software engineering and digital transformation services. We help enterprises accelerate innovation and drive business outcomes using cutting-edge technologies and agile methodologies. Join our dynamic team and be part of shaping the future of automation and intelligent solutions. Position Overview We are seeking a highly skilled UIPath Engineer with deep expertise in OCR (Optical Character Recognition) and document processing using UiPath. The ideal candidate will have a strong background in designing, developing, and deploying end-to-end automation solutions focused on intelligent document understanding and processing. This role requires a solid understanding of RPA frameworks, best practices, and integration with OCR engines to deliver scalable, high-quality automation. Key Responsibilities Design, develop, test, and deploy RPA workflows leveraging UiPath to automate document processing and OCR tasks. Implement intelligent document processing solutions including data extraction, classification, validation, and exception handling. Collaborate with business analysts and stakeholders to gather and analyze requirements for document automation projects. Integrate UiPath workflows with OCR technologies (e.g., UiPath Document Understanding, ABBYY, Google Vision, etc.) and other third-party tools. Optimize automation processes for efficiency, accuracy, and scalability. Troubleshoot, debug, and resolve issues in RPA bots and OCR pipelines. Develop reusable components, libraries, and frameworks to support rapid development and deployment. Maintain documentation of design, development, and operational procedures. Stay updated with the latest trends and advancements in RPA, OCR, and AI-based document processing technologies. Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field. Proven experience (3+ years) in RPA development using UiPath with a focus on OCR and document processing. Strong understanding of OCR technologies and intelligent document processing frameworks. Hands-on experience with UiPath Document Understanding or equivalent OCR tools. Proficient in designing workflows, activities, and components in UiPath Studio and Orchestrator. Experience with scripting languages such as Python, VB.NET, or C# is a plus. Familiarity with AI/ML concepts applied to document classification and data extraction. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Preferred Skills Experience integrating UiPath with cloud OCR services (Azure Cognitive Services, AWS Textract, Google Cloud Vision). Knowledge of business process management and process optimization. Understanding of enterprise IT environments, security, and compliance standards. Exposure to Agentic AI , autopilots and Intelligent document processing enhancements What We Offer Competitive compensation and benefits package. Opportunity to work with cutting-edge automation technologies. Collaborative and innovative work culture. Professional development and career growth opportunities. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies. - Evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Experience with cloud-based AI services and deployment strategies. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing and feature engineering techniques. - Ability to design and implement neural network architectures for various applications. Additional Information: - The candidate should have minimum 15 years of experience in Machine Learning. - This position is based at our Mumbai office. - A 15 years full time education is required. Show more Show less

Job Summary We are seeking an experienced and highly qualified Professor in Computer Science and Engineering to lead academic, research, and administrative responsibilities. The ideal candidate will contribute to high-quality teaching, guide student research, publish scholarly articles, and support curriculum development. Key Responsibilities Teach undergraduate and postgraduate courses in Computer Science and Engineering. Develop and upgrade academic curriculum in line with current industry standards. Guide and mentor students in academic and research activities. Conduct high-quality research and publish in peer-reviewed journals/conferences. Supervise Ph.D./M.Tech/M.E. thesis and projects. Participate in departmental and institutional activities and committees. Secure funding for research projects and manage grants. Collaborate with industry, academia, and research organizations for joint projects. Ensure compliance with accreditation and regulatory standards (AICTE, NAAC, NBA). Eligibility Criteria Ph.D. in Computer Science / Information Technology or a related discipline. Minimum of 10 years of teaching and/or research experience in a reputed institution. Proven track record of research publications in Scopus/Web of Science indexed journals. Strong communication, organizational, and leadership skills. Preferred Skills Expertise in subjects such as AI/ML, Data Science, Cybersecurity, IoT, Cloud Computing, etc. Experience with online teaching platforms and tools (Moodle, Google Classroom, etc.). Strong commitment to student success and academic excellence. Show more Show less

Job Description Machine Learning/Deep Learning Senior Data Scientist Job Summary: We are seeking an experienced Machine Learning/Deep Learning Senior Data Scientist to join our team and drive the development of cutting-edge AI solutions. As a Senior Data Scientist, you will be responsible for designing, developing, and deploying scalable and efficient machine learning and deep learning models to solve complex business problems. You will work closely with cross-functional teams to ensure the successful delivery of AI-powered projects. Key Responsibilities: 1. Design and Develop Machine Learning/Deep Learning Models: Design, develop, and deploy machine learning and deep learning models using various techniques such as supervised, unsupervised, and reinforcement learning. 2. Data Analysis and Interpretation: Analyze and interpret complex data to identify patterns, trends, and insights that inform business decisions. 3. Collaborate with Cross-Functional Teams: Work closely with data engineers, DevOps engineers, and QA engineers to ensure seamless integration of machine learning and deep learning models into larger systems. 4. Architecture and Design: Design and architect scalable and efficient machine learning and deep learning systems, ensuring scalability, efficiency, and maintainability. 5. Mentorship and Guidance: Mentor and guide junior data scientists, providing technical guidance and best practices for machine learning and deep learning development. 6. Staying Up-to-Date with Industry Trends: Keep up-to-date with the latest developments in machine learning, deep learning, and related technologies, applying this knowledge to drive innovation and improvement. 7. Evaluate and Implement Emerging Technologies: Evaluate and implement emerging technologies such as transformer-based models, graph neural networks, and other advanced techniques to stay ahead of the competition. Show more Show less

Grow with us About this opportunity: It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G networks with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are expanding the Ericsson MLOps Engineering Unit with tech savvy developers with right attitude and skillset. MLOps is an iterative process for building, deploying, operationalizing, and observing AI/ML systems. MLOps aim is to manage the end-to-end life cycle of AI/ML models through all the phases, experimentation, development, deployment, model performance monitoring and re-training and, when needed, re-design and re-architecture to keep models operating in optimal conditions in production environments. A MLOps platform provides services and components to assist and guide organizations through this iterative process. MLOps platform components are designed to overcome the challenges to develop and operate AI/ML systems at industrial scale on production environments. Role Summary As a Software Engineer , you will build and deploy MLOps Services and components, enabling AI Use Cases Development and Production deployment with focus on scaling, monitoring and performance, re-using the MLOps Platform. The MLOps Platform unit is designing, engineering, operating, and maintaining cloud native K8s based micro-service Architecture – Service and Components that delivers that aim to deliver end to end MLOps features and functionality e.g. CI/CD, data exploration notebooks (Jupyter), ML model development and deployment, workflow engines, and ML frameworks (i.e. TensorFlow) for easy consumption by Ericsson products and services. The AI MLOps Platform covers infrastructure capacity and tools for all AI/ML project and system needs across different Ericsson Products. The main approach is to integrate/extend existing private and public cloud infrastructures, and to base the toolbox components on open source software. The deployed environments are heterogeneous, so multi-cloud, hybrid-cloud, and WAN networking are also key technology areas. In this role, you are expected to be a very hands-on developer, functioning as an individual contributor, as well as work within a cross functional team that is responsible from study, design, implement, test, deliver and maintain phases of the projects/products. Key Responsibilities Develop/integrate/automate a core AI/ML software environment, in close collaboration with data scientist and product developers Operationalize and extend open source software components, covering the entire ML model life-cycle, including e.g. data transformation, model development, deployment, monitoring, re-training, security. Collaborate with product development teams and partners in Ericsson Businesses to industrialize a platform for machine learning models and solutions as part of Ericsson offerings including providing code, workflows and documents Work with MLOps projects and development teams to identify needs and requirements for AI/ML tools and infrastructure resources. Evaluate and plan capacity of CPU, GPU, memory, storage, and networking resources to balance cost versus desired productivity and performance Develop essential automation scripts and tooling to help quality assurance, maintenance, migration, and cost-control of infrastructure deployments. Manage communication, planning, collaboration and feedback loops with business stakeholders. Model the business problem statement into AI/ML problem. Contribute to IPR creation for Ericsson in AI/ML Lead functional and technical analysis within Ericsson businesses and for strategic customers to understand MI-driven business needs and opportunities Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed. Provide MI Competence build-up in Ericsson Businesses and Customer Serving Units Develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiatives Key Qualifications Bachelors/Masters in Computer Science, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction. Applied experience: 2+ years of experience with infrastructure, platforms, networking, and software systems; and an overall industry experience of about 4+ years. Strong software engineering experience with one or more of Golang, Java, Scala, Python, JavaScript, using container-based development practices Experience with data analytics and AI/ML systems, for example, Spark, Jupyter, Tensorflow Experience with large scale systems, for example reliability/HA, deployment, operations, testing, and trouble-shooting. Experience with delivering software products, for example release management, documentation Experience with usage/integration of public cloud services, for example, identity and access management, key management, storage systems, CPU/GPU, private/virtual networking, and Kubernetes services. Experience with modern distributed systems and tooling, for example, Prometheus, Terraform, Kubernetes, Helm, Vault, CI/CD systems. Experience with WAN networking solutions, redundancy/fail-over, QoS, and VPN technologies. Experience with Infrastructure-as-code and SRE ways-of-working Strong system administration skills, Linux and Windows Awareness of ITIL/ITSM methodologies for operations and service delivery Soft Skills Good communication skills in written and spoken English Great Team worker and collaborator Creativity and ability to formulate problems and solve them independently Self-driven and ability to work through abstraction Ability to build and nurture internal and external communities Ability to work independently with high energy, enthusiasm and persistence Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Chennai Req ID: 766515 Show more Show less

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 The role of Sr. Analytics Consultant / Lead exists within the Analytics offshore and onshore teams to develop innovative Analytics solutions using Data Visualization / BI solutions, Gen AI / ML, Data Analytics and Data Science, that will generate tangible value for business stakeholders and customers. The role has a focus on using sophisticated data analysis and modelling techniques, alongside cognitive computing and artificial intelligence, with business acumen to discover insights that will guide business decisions and uncover business opportunities. Key AccountabilitiesManaging large Advanced Analytics teams owning client delivery and team growth accountabilities using consulting mind set. Consulting, transformation, building proposal & competencyExperience within Insurance services industry essential. Confident in leading large scale data projects, working in product teams.Highly experience in solving business problem and Data Lead Tech solutions. Managing diverse cross functional teams with a strong commercial mindset Interpret big data to identify and analyse emerging trends and produce appropriate business insights which monitors the performance of the Portfolios and to continuously drive an improvement in business results.Develop advance business performance & Data Analytics Tools to assist the Senior Specialists, Portfolio Managers, business stakeholders (including but not limited to Portfolio, Customer & Marketing functions) & wider Commercial team members to make required data-based recommendations, implement and monitor them accurately.Develop statistical models to predict business performance and customer behaviour. Research customer behaviours and attitudes leading to in depth knowledge and understanding of differences in customer level profitability.Promote innovation through improving current processes and developing new analytical methods and factors. Identify, investigate and introduce additional rating factors with the objective of improving product risk and location selection to maximise profit.Provide consulting advice and solution to solve the Business clients hardest pain points and realise biggest business opportunities through advanced use of data and algorithms. Can work on projects across functions based on needs of the business.Actively add value by lifting the Business capability of process automation.Build, enhance and maintain quality relationships with all internal and external customers. Adopt a customer focus in the delivery of internal/external services. Build positive stakeholder relationships to foster a productive environment and open communication channels.Bring new Data Science thinking to the group by staying on top of latest developments, industry meet-ups etc.Expert level knowledge of ,Gen AI/ML Python, BI and Visualization, transformation and business consulting building technical proposalKnowledge of statistical concepts – Expert levelTypically, this role would have 12 years plus of relevant experience (in a Data Science or Advanced Analytical consulting field of work). At least 10 years of leadership experience necessary.Experience within Insurance services industry essential. Confident in leading large scale data projects, working in product teams.Highly experience in solving business problem and Data Lead Tech solutions. Managing diverse cross functional teams with a strong commercial mindset Qualifications Superior results in Bachelor Degree in highly technical subject area (statistics, actuarial, engineering, maths, programming etc). Post graduate degree in relevant statistical or data science related area (or equivalent & demonstrable online study). Key Capabilities/Technical Competencies (skills, knowledge, technical or specialist capabilities)MandatoryProven ability to engage in a team to achieve individual, team and divisional goals. Consulting, transformation, building proposal & competencyLead and manage largescale teams from people, project management and client management perspective Solid programming experience in Tableau, R, SQL and Python (AI/ML.Experience with AWS or other cloud service.Familiar with data lake platforms (e.g. Snowflake and Databricks)Demonstrated understanding of advanced machine learning algorithms including some exposure to NLP and Image Processing.Expert level understanding of statistical conceptsPlanning and organization – Advanced levelDelegation, project management, delivery and productionizing analytical services – Advanced High degree of specialist expertise within one or more data science capabilities eg. unstructured data analysis, cognitive/AI solutions (incl. use of API platforms such as IBM Watson, MS Azure, AWS etc), Hadoop/Spark based ecosystems etc.Familiarity with Gen AI conceptsHighly ValuedGood understanding of the Insurance products, industry, market environment, customer segment and key business drivers.Strong knowledge of finance, Budgeting/Forecasting of key business drivers, with the ability to interpret and analyse reports relevant to area of responsibility.Additional RequirementsCreativity and Innovation - A curious mind that does not accept the status quo. Design thinking experience highly valued. Communication Skills – Superior communication skills to be able to co-design solutions with customers. Emotional intelligence and the ability to communicate complex ideas to a range of internal stakeholders. Consulting skills highly valued. Business Focus - Advanced analytical skills will need to be practiced with a significant business focus to ensure practical solutions that deliver tangible value. Strategic Focus - Critically evaluate both company and key business customers' strategy. Also keeping abreast of best practice advanced analytics strategies. Change management capability - ability to recognise, understand and support need for change and anticipated impact on both the team and self. Adaptable and responsive to a continuously changing environment.Customer service - proven commitment to delivering a quality differentiated experience.Time management skills – prioritisation of work without supervision.Project management - Ability to plan, organize, implement, monitor, and control projects, ensuring efficient utilisation of technical and business resources, to achieve project objectives.Partnering - Ability to deliver solutions utilising both onshore and offshore resources. Show more Show less

About Micoworks: Micoworks is a company with a clear mission: to Empower every brand for the better future. This ambitious goal sets the stage for our vision and core values. Who We Are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company. This mid-term goal outlines our dedication to becoming the leading force in empowering brands across Asia. To achieve our mission and vision, Micoworks identifies four key values that guide our work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values reflect our commitment to empowering brands, working with agility and open-mindedness, and prioritizing customer success. We are driven by a passion to innovate and lead in the world of brand empowerment. Role Overview: As an Agentic AI Intern, you will be working closely with a dynamic team of engineers, data scientists, and researchers on developing, implementing, and optimizing AI models and applications. You will gain hands-on experience in AI and machine learning, along with exposure to real-world problem-solving in an office environment. Key Responsibilities: Assist in the development and training of AI models using machine learning frameworks. Work with large datasets to clean, preprocess, and analyze data. Contribute to the optimization of AI algorithms and processes. Collaborate with cross-functional teams to understand requirements and implement AI-based solutions. Develop, test, and deploy AI models under the supervision of senior team members. Participate in code reviews and document technical work effectively. Conduct research to stay updated with the latest trends and advancements in AI. Assist in building and improving AI tools and applications for business use cases. Desired Skills & Qualifications: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms and principles. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data preprocessing, data cleaning, and data visualization. Good knowledge of statistical methods and model evaluation techniques. Strong analytical and problem-solving skills. Ability to work collaboratively in a team-oriented environment. Excellent communication skills to convey technical concepts effectively. Good to Have: Prior internship experience or personal projects related to AI/ML. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Experience with Natural Language Processing (NLP) or Computer Vision (CV). Why Join Us: Gain hands-on experience working with the latest AI technologies. Mentorship from industry experts and senior professionals. Exposure to real-world AI projects with a direct impact on business outcomes. Opportunity to work in a collaborative and innovative work environment. Flexible, inclusive, and growth-oriented culture. Show more Show less

About Micoworks: Micoworks is a company with a clear mission: to Empower every brand for the better future. This ambitious goal sets the stage for our vision and core values. Who We Are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company. This mid-term goal outlines our dedication to becoming the leading force in empowering brands across Asia. To achieve our mission and vision, Micoworks identifies four key values that guide our work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values reflect our commitment to empowering brands, working with agility and open-mindedness, and prioritizing customer success. We are driven by a passion to innovate and lead in the world of brand empowerment. Role Overview: As an Agentic AI Intern, you will be working closely with a dynamic team of engineers, data scientists, and researchers on developing, implementing, and optimizing AI models and applications. You will gain hands-on experience in AI and machine learning, along with exposure to real-world problem-solving in an office environment. Key Responsibilities: Assist in the development and training of AI models using machine learning frameworks. Work with large datasets to clean, preprocess, and analyze data. Contribute to the optimization of AI algorithms and processes. Collaborate with cross-functional teams to understand requirements and implement AI-based solutions. Develop, test, and deploy AI models under the supervision of senior team members. Participate in code reviews and document technical work effectively. Conduct research to stay updated with the latest trends and advancements in AI. Assist in building and improving AI tools and applications for business use cases. Desired Skills & Qualifications: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms and principles. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data preprocessing, data cleaning, and data visualization. Good knowledge of statistical methods and model evaluation techniques. Strong analytical and problem-solving skills. Ability to work collaboratively in a team-oriented environment. Excellent communication skills to convey technical concepts effectively. Good to Have: Prior internship experience or personal projects related to AI/ML. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Experience with Natural Language Processing (NLP) or Computer Vision (CV). Why Join Us: Gain hands-on experience working with the latest AI technologies. Mentorship from industry experts and senior professionals. Exposure to real-world AI projects with a direct impact on business outcomes. Opportunity to work in a collaborative and innovative work environment. Flexible, inclusive, and growth-oriented culture. Show more Show less