41 Statistical Models Jobs

Job Title: Lead Quant Analyst, Credit Quants About the Team: DBRS Morningstar Credit Ratings, LLC is registered with the U.S. Securities and Exchange Commission as a nationally recognized statistical rating organization (NRSRO). DBRS Morningstar Credit Ratings issues credit ratings on a variety of security types including corporate and structured finance securities. This Morningstar subsidiary aims to increase market transparency by providing the highest-quality ratings, securities research, monitoring services, operational risk assessments, data, and tools. DBRS Morningstar is a global credit ratings business, formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the ratings business is the fourth-largest provider of credit ratings in the world. DBRS Morningstar is committed to empowering investor success, serving the market through leading-edge technology and raising the bar for the industry. DBRS Morningstar is a market leader in Canada, the U.S. and Europe in multiple asset classes. DBRS Morningstar is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. DBRS Morningstars approach and size provide the agility to respond to customers needs, while being large enough to provide the necessary expertise and resources. The Role: As a Quant Analyst you will execute proprietary research pertaining to building data building various types of credit rating models, such as default models, cashflow models, capital models, regression models covering asset classes of ABS, CMBS, Covered Bond, RMBS, Structured Credit, Corporates, Financial Institutions and Sovereigns. The Credit Ratings Modeling team will collaborate with members from the Credit Ratings, Credit Practices, Independent Review, Data and Technology teams to create class leading models that are as innovative as they are easy to understand in the marketplace. You will be expected to adopt an "iron sharpens iron" attitude where the focus is on making everyone better. The ideal candidate will demonstrate Quant research skills in Credit Modeling alongside Quant Modeling skills such as statistics, Machine Learning, numerical optimization & software engineering skillset within Fintech eco space. This position reports to the Senior Manager of Quantitative Research, Technology. Responsibilities: Support methodology development, Quant Model builds & enhancements for core Quant products as credit predictive models, etc. Participate in building next generation of credit modelling. Maintain and enhance proprietary Python libraries related to model building Leverage structured and unstructured datasets to build new Quant frameworks that would help analysts in informed decision making. Assisting development of Analytics-based solutions, taking ownership of the design and development of solutions to scale information ingestion, storage, computation (training/inference), validation. Participate in analyst conversations for understanding ongoing analyst issues. Requirements: 4 to 5 years of investment research / rating agencies experience with emphasis on fixed income research / analysis, credit modelling. CFA, CQF or postgraduate degree in finance, economics, mathematics, statistics is highly desired. Experience developing Financial Engineering/ Statistical applications on cloud. Experience of statistical models (Regression, Monte Carlo simulations, Numerical Optimization etc.) Experience of developing Quant Models using Python. Experience engineering models on big data. Understanding of both business and technical requirements, and the ability to serve as a conduit between rating team, research and technology Familiarity fixed income. Morningstar is an equal opportunity employer About Us Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world. Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service. Morningstar DBRS is the next generation of credit ratings. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Morningstars hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, weve found that were at our best when were purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, youll have tools and resources to engage meaningfully with your global colleagues. R11_DBRSRatingsGmbHIndia DBRS Ratings GmbH, Branch India Legal Entity Show more Show less

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. MRGR is a global team of modeling experts within the firm's Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm's model validation and governance activities with exposure to a wide variety of model types and cutting-edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. This role will perform the following model risk management activities: - Set standards for robust model development practices and enhance them as needed to meet evolving industry standards - Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics - Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities - Communicate risk assessments and findings to stakeholders, and document in high-quality technical reports - Assist the firm in maintaining (i) the appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Minimum Skills, Experience, and Qualifications: We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. - Masters degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics, or Finance is required - 0 - 2 years of experience in a quantitative or modeling role. - Deep understanding of statistical/econometric models such as linear, logistics, and time series models is required - Proficiency in Python, R, or equivalent - Knowledge in financial markets is preferred - Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high-quality technical reports - Experience with large data sets is preferred Additional Skills, Experience, and Qualifications: The following additional items will be considered but are not required for this role: - Prior experience in mortgage or CRE risk model development or validation is a plus - Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus,

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers, and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class. MRGR is a global team of modeling experts within the firm's Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm's model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. This role will perform the following model risk management activities: - Set standards for robust model development practices and enhance them as needed to meet evolving industry standards - Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics - Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities - Communicate risk assessments and findings to stakeholders, and document in high-quality technical reports - Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Minimum Skills, Experience, and Qualifications: We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. - Masters degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics, or Finance is required - 0-2 years of experience in a quantitative or modeling role - Deep understanding of statistical/econometric models such as linear, logistic, and time series models is required - Proficiency in Python, R, or equivalent - Knowledge in the financial market is preferred - Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high-quality technical reports - Experience with large datasets is preferred Additional Skills, Experience, and Qualifications: The following additional items will be considered but are not required for this role: - Prior experience in mortgage or CRE risk model development or validation is a plus - Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

Who We Are Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfairs advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What Youll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have : Bachelor&aposs or Masters degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at [HIDDEN TEXT]. If you would rather not have us retain your data please contact us anytime at [HIDDEN TEXT]. Show more Show less

You should possess 5-6 years of professional experience, with a minimum of 3 years in Data Science/Analytics. Proficiency in hands-on Python programming is required. You must be capable of independently developing and deploying AI/ML models from scratch. A good understanding of AI/ML and Statistical models is essential. The role also involves Data Analysis, Visualization, and Reporting. Experience in Splunk and Grafana is considered a plus. At GlobalLogic, you will have the opportunity to work on exciting projects in industries such as High-Tech, communication, media, healthcare, retail, and telecom. You will collaborate with a diverse team of highly talented individuals in a laidback environment. We prioritize work-life balance by offering flexible work schedules, work-from-home opportunities, paid time off, and holidays. Professional development is important to us. Our Learning & Development team organizes various training programs including Communication skills training, Stress Management programs, professional certifications, and technical and soft skill trainings. We provide competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance, NPS (National Pension Scheme), health awareness programs, extended maternity leave, annual performance bonuses, and referral bonuses. In addition to the above benefits, we offer fun perks such as sports events, cultural activities, food at subsidized rates, corporate parties, dedicated GL Zones, rooftop decks, and the GL Club. Our offices provide a vibrant environment with discounts for popular stores and restaurants. GlobalLogic is a leader in digital engineering, helping brands worldwide design and build innovative products, platforms, and digital experiences. Our expertise in experience design, complex engineering, and data enables our clients to envision the future and transition into digital businesses. Headquartered in Silicon Valley, we operate design studios and engineering centers globally, serving customers in various industries including automotive, communications, financial services, healthcare, manufacturing, media and entertainment, semiconductor, and technology. As a Hitachi Group Company under Hitachi, Ltd. (TSE: 6501), we drive innovation through data and technology to contribute to a sustainable society with a higher quality of life.,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

Are you searching for an exciting opportunity to become a part of a dynamic and expanding team operating in a fast-paced and challenging environment This position presents a unique chance for you to collaborate with the Business team and offer a comprehensive perspective. As a Vice President in the AI-first Strategic and Market Intelligence team at J.P. Morgan's Commercial & Investment Bank, you will play a key role in establishing the team, defining its strategic direction, promoting an AI-driven mindset, and using advanced analytics to produce actionable insights. Your responsibilities will involve leading an agile team to provide strategic research and intelligence to the management team of the Commercial & Investment Bank, as well as formulating and advocating the research strategy in accordance with the business priorities of the Commercial & Investment Bank. Your main duties will include defining and steering the research strategy in alignment with the CIB's business priorities, establishing clear objectives and deliverables for the team, staying abreast of AI application advancements to continuously enhance the research and insight generation process, acting as a change agent by embracing new AI applications for improved research and insight generation, utilizing various data sources to create analytical and statistical models for trend identification and analysis, and utilizing a profound understanding of the CIB and its strategic objectives to evaluate the impact of emerging trends on the business. Additionally, you will oversee all research outputs to ensure accuracy, relevance, and actionable recommendations that drive strategic value, and cultivate a culture of excellence within the team by consistently aiming to enhance the precision, speed, and impact of research materials. The qualifications, capabilities, and skills required for this role include an advanced degree in business administration, finance, economics, technology, or a related field, a minimum of 10 years of experience in a strategic leadership capacity, and an innovative AI-first mindset with familiarity in modern research tools. Preferred qualifications consist of knowledge of machine learning techniques for synthesizing complex data into impactful insights and strategic recommendations, exceptional written communication skills for creating compelling and persuasive research reports and presentations, a track record of leading high-performing teams and driving strategic initiatives, senior-level experience in strategy, consulting, or innovation within the financial services sector, and familiarity with the financial services industry. If you are an experienced professional looking to make a significant impact in a strategic leadership role within a dynamic and forward-thinking team, this position offers an exciting opportunity to contribute to the growth and success of J.P. Morgan's Commercial & Investment Bank.,

About Biz2X Biz2X is the leading digital lending platform, enabling financial providers to power growth with a modern omni-channel experience, best-in-class risk management tools, and a comprehensive yet flexible Servicing engine. The company partners with financial institutions to support their Digital Transformation efforts with Biz2X's digital lending platform. Biz2X solutions not only reduce operational expenses but also accelerate lending growth by significantly improving client experience, reducing total turnaround time, and equipping relationship managers with powerful monitoring insights and alerts. Key Responsibilities: You will be responsible for building credit risk models, driving underwriting and credit decisions, and ensuring optimization across risk, pricing, and business growth. You'll play an important role in shaping our lending products and processes, ensuring they are built on a solid foundation of prudent risk management. - Credit Decisioning: Leverage or build advanced credit risk models (functional rule-based/heuristics and machine learning models) and lead critical credit decisions. - Policy Development: Assist in drafting a detailed risk policy for the business loan business and closely monitor the adherence to the same. - Data Utilization: Work extensively with Credit Bureau, Bank statement, financial data. Identify and evaluate alternate data features to explore credit expansion opportunities. - Team Development: Coach and mentor younger team members to create a world-class credit team both in functional credit analysis and machine learning-based models. - Reporting and Monitoring Systems: Drive robust monitoring and alerting systems for early warning signals of delinquencies in the portfolio, ensuring agility in decision-making. Perform Root cause analysis and present those to stakeholders in a timely fashion. - Underwriting: Responsible for managing the underwriting operations and performing risk assessment for various policies. You Should Apply If You: - Risk professional with 4+ years of experience across a bank/NBFC with experience across retail-individual and retail business (micro-businesses) underwriting/fraud/risk/collection. - Strong hands-on experience and expertise in building Machine Learning-based underwriting statistical models. - Deep domain/functional knowledge in credit underwriting/credit analysis. - Proven experience in underwriting risk management in the fintech or financial services industry, with a focus on credit risk. - Strong knowledge of fintech products, unsecured lending products, services, and technologies, as well as the regulatory landscape governing the industry. - Experience in Product and Credit Policy formulation, Collections and Recovery, Fraud, and Operational Risks. - Exceptional analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions. - Strong leadership capabilities with the ability to build and lead a high-performing risk management team. - Excellent Analytical and Data Science capabilities. Apply on - https://app.intalent.ai/biz2credit/recruitment/candidate/new/366,

Job Description: FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company's over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients" greatest ambitions. Role: Director - Model Risk Management Level: L4 Job Category: Director About The Job: The Model Risk Management (MRM) provides oversight for the MRM Framework, which consists of the policy, processes, and procedures. The Director, Model Risk Management (MRM) will be responsible for supporting the development and enhancement of First Citizens global model risk policy, standards, methodologies, procedures, governance, tuning, and validation activities to strengthen and unify model risk practices across all entities. You will be based out of First Citizens India (FCI) office in Bangalore, report into the Head of Risk Management, India, and function as an integral member of the global MRM organization. The role will dually report into the global Head of MRM and work collaboratively with the global MRM leadership team and act as their point of contact in India. You will be responsible for supporting all aspects of the global MRM program. The successful candidate will lead global MRM efforts to ensure that models are appropriately designed, implemented, and managed, including but not limited to conceptual soundness, model implementation and use, model documentation, model performance monitoring, governance, tuning, and validation. You will be responsible for developing talent capabilities at FCI to provide global support to the MRM organization. This includes but is not limited to hiring, coaching, mentoring, supervision, and other people management responsibilities in a transparent manner and in consultation with key global stakeholders. The role will manage a team of resources with solid MRM experience and skills, partners with global stakeholders to establish effective collaboration and partnership to build and manage talent capabilities. Communicates and collaborates across a broad set of stakeholders and is responsive to changes in the business environment. The Ideal Candidate Will: Functional (80% of Time): - Lead efforts to develop and maintain model governance documentation and performance monitoring, including periodically presenting results to MRM Leadership. - Oversee model risk management across the entire model life cycle - development, validation, implementation, and retirement, ensuring that adequate controls are in place to manage model risk. - Collaborate with internal stakeholders across business units to enhance alignment in implementing MRM policy/standards and promote MRM best practices. - Manage the model inventory and annual attestation process to ensure its completeness and accuracy. Work with key stakeholders to enhance the oversight and control of adherence to the MRM standards. - Assist with ongoing KRI review of model output to identify model drift/breaches and ensure appropriate periodic or event-based tuning, with a focus on both efficiencies and effectiveness. - Manage the model finding inventory while engaging stakeholders to ensure appropriate remediation actions are executed in a timely and effective manner. - Act as a strategic partner for initiatives and changes, including working with business, compliance, or technology partners to understand requirements and provide solutions while ensuring appropriate risk mitigation. - Ensure appropriate documentation in model development, tuning, and appropriate independent validation coverage and documentation of independent review. - Direct and maintain tuning schedules for applicable models, including analyzing outputs, documenting results, and presenting recommended changes along with impact analysis to leadership. - Act as the FCI point-of-contact for responding to MRM and regulatory exam inquiries, including representing global approach and execution, facilitating walkthroughs and requisition of document/data requests, actively engaging in status meetings, and providing updates to MRM leadership. - Build relationships across model owners, data scientists, Model Risk Management, Audit, and third-party vendors. - Use subject matter expertise and analytics to proactively identify and address gaps and identify emerging risks. - Lead remediation efforts for model-related issues identified through exams, audits, and model validations. Leadership and People Management (20% of Time): - Define talent/skill needs and resource requirements, keeping in mind process evolution and emerging technologies. - Provide a clear definition of roles, responsibilities, individual goals, and performance objectives for the team. - Provide regular, constructive feedback to maximize the positive impact of individual team members" talent. - Create and support a collaborative team environment. - Build collaborative and effective partnership with MRM functional leads to ensure seamless support and delivery of services. Decisions: - Routinely makes recommendations that require approval to implement with the occasional decision without approval. - Occasionally makes recommendations that require approval; does not make impactful decisions that do not require approval. Routinely follows defined process. What You'll Bring: - Excellent written and spoken communications skills. - Strategic planning skills supported with analytical skills. - Team management and people management skills. - Planning and execution skills. - Stakeholder management skills, e.g., effective forward-looking planning, communication, and delivery of services. - Able to effectively manage tasks as agreed and delegate work among team members. - Efficient and well-organized workflow and process design skills. - Outstanding attention to detail, accuracy of information. - Ability to effectively collaborate and influence to lead cross-functional teams. Education And Experience: - Relevant Bachelor/Masters degree/PhD, with a preference for specialization in Statistics, Mathematics, or other quantitative discipline. - Microsoft Office (Word, Excel, PowerPoint, and Outlook). - 15+ years of MRM work experience in financial services. - 8+ years of experience in managing people and functions. - Knowledge of statistical and machine learning models. - Experience of managing/leading process improvement initiatives. - Good knowledge in programming skills (Python, SAS, R, etc.). - Strong understanding of model development and validation testing techniques. - Knowledge of financial services/banking domain. Equal Employment Opportunity.,

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

You will be responsible for developing, training, and fine-tuning Machine Learning models for AI/ML applications. This includes designing and implementing data pipelines for data processing, model training, and inference. Additionally, you will be deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will also be a key part of your role. You will also be expected to research and implement various ML and AI techniques to improve performance. To excel in this role, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, will be beneficial. Familiarity with Docker and container-based deployments to create cloud-agnostic products is required. A strong understanding of AI and Machine Learning concepts such as Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning is essential. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is preferred. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be an advantage. Understanding of various Statistical models is also expected. If you have 5 to 7 years of experience in the relevant field and possess the mentioned skills and qualifications, we would like to hear from you.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area This unique opportunity allows you to work in our team and partner with the Business to provide a comprehensive view. As a Vice President within the AI-first Strategic and Market Intelligence team at J.P. Morgan's Commercial & Investment Bank, you will be responsible for spearheading the establishment of the team, setting its strategic direction, fostering an AI-promoting mindset, and leveraging advanced analytics to generate actionable insights. Your role will involve leading a high-impact, agile team to deliver strategic research and intelligence to the Commercial & Investment Bank Management team, defining and promoting the research strategy in alignment with the business priorities of the Commercial & Investment Bank. Job Responsibilities: - Define and drive the research strategy in alignment with the CIB's business priorities, setting clear objectives and deliverables for the team. - Stay informed about AI application developments, both internally and externally, to constantly look for ways to enhance the research and insight generation process. - Act as a change agent, demonstrating agility in adopting new AI applications to enhance the research and insight generation process. - Leverage diverse data points, including internal data, qualitative information, and expert inputs, to develop analytical and statistical models for trend identification and emerging trend analysis. - Develop and utilize a deep understanding of the CIB and its strategic priorities to assess the impact of emerging trends on the business. - Oversee all research deliverables, ensuring accuracy, relevance, and actionable recommendations that drive strategic value. - Build a "culture of excellence" within the team, constantly seeking to improve accuracy, speed, and impact of research deliverables. Required qualifications, capabilities, and skills: - Advanced degree in business administration, finance, economics, technology, or a related field. - Minimum 10 years of experience in a strategic leadership role, preferably with. Preferred qualifications, capabilities, and skills: - Innovative AI-first mindset and familiarity with modern research tools; proven success at leveraging tools for problem-solving and answering strategic business questions. - Knowledge of machine learning techniques to synthesize complex data into high-impact insights and strategic recommendations. - Excellent written communication skills, with the ability to produce engaging and persuasive research reports and executive-ready presentations. - Demonstrated success in leading high-performing teams and driving strategic initiatives. - Proven senior-level experience in strategy, consulting, or innovation within the financial services industry. - Knowledge of the financial services sector is preferred.,

Join us as an Assistant Vice President- Credit Strategy at Barclays, where you will spearhead the development of Credit Strategies for some of the well-known co-brand credit cards. You will utilize industry-leading tools to enhance credit strategies. You may be assessed on key skills relevant for success in the role, such as experience with SAS/SQL, knowledge of Lending products especially Credit cards, understanding of the credit underwriting process, as well as job-specific skillsets. To be successful as an Assistant Vice President - Credit Strategy, you should have experience with: Basic/ Essential Qualifications: - College degree required; quantitative disciplines preferred; master's degree preferred - Analytical experience in the financial services industry; credit card experience preferred - Experience building underwriting and/or line assignment credit strategies - Experience with SAS/SQL or other relevant statistical tools Desirable skillsets/ good to have: - Strong analytical, technical, and statistical skills with a proven ability to process vast amounts of data into meaningful information - Strong knowledge of SQL, SAS, and Excel - Strong communication skills, with the ability to present information clearly, in both written and verbal form - Previous experience in the Financial Services Industry and Credit Risk Management Preferred - Ability to thrive in a dynamic and fast-paced environment Key Accountabilities: - Utilizing segment-level valuations, develop Credit Strategies (Underwriting, Line, and Pricing) for the US Partner Portfolio (50%) - Evaluate alternative data for underwriting and line assignment strategies using statistical analysis techniques such as CHAID Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring, data quality analyses, and incorporate score implementations supporting launch (20%) - Develop and monitor customized manual underwriting process (10%) - Work with Segment / Strategic Analytics / Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction (10%) - Analyze, validate, track, and monitor delivered projects (100%) Stakeholder Management and Leadership: The person in this role will interact with Customer Office, Credit Risk, Finance, Segment teams, Customer Delivery, and Technology teams to ensure the correct implementation of the targeting strategies. Decision-making and Problem Solving: Strong problem-solving skills are required. The person needs to be resourceful with a can-do attitude to independently push tasks forward while working with key stakeholders. Ability to make decisions on the fly when equipped with the right background information and business insights. Risk and Control Objective: Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework, and internal Barclays Policies and Policy Standards. This role will be based out of Noida, India. Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. Accountabilities: - Identification, collection, extraction of data from various sources, including internal and external sources - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis - Development and maintenance of efficient data pipelines for automated data acquisition and processing - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward 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.,

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle, providing a comprehensive cloud service offering in the enterprise software industry. This includes Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is focused on building a future-ready AI-based Cloud Service. As part of the team working on next-generation, AI-powered solutions, your role will involve transforming surveillance and authentication systems. The aim is to revolutionize security by moving towards cutting-edge biometric and AI-driven technologies, departing from traditional password-based authentication. You will be instrumental in designing and implementing solutions that facilitate real-time, intelligent analysis of surveillance camera feeds. This includes enhancing security systems with advanced features like facial recognition and behavior analysis. This presents an exciting opportunity to contribute to a rapidly evolving field, where your innovations will shape the future of authentication and surveillance technologies, ultimately enhancing security on a global scale. Qualifications required for this role include a Master's degree or equivalent experience in fields such as Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, or related areas. Additionally, you should have 6+ years of experience (for Master's) in designing, implementing, and deploying machine learning models in production settings. Practical experience with distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java) is essential. Familiarity with cloud environments such as Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes) is preferred. Moreover, expertise in machine learning techniques, statistical models, and programming languages like Java, Python, and C++ is necessary. A solid understanding of data structures, algorithms, and problem-solving skills is also expected. As an IC2 level professional, your responsibilities will include designing, developing, and implementing AI and machine learning models for real-time surveillance analysis. You will work on optimizing biometric authentication systems using techniques like facial recognition, voice recognition, and fingerprint scanning. Managing and optimizing Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models will be part of your role, ensuring seamless deployment, high availability, and efficient resource utilization. Monitoring and improving the performance of AI models, optimizing algorithms for lower latency and better scalability, and staying up-to-date with advancements in AI, machine learning, biometric technologies, and surveillance systems are key aspects of your responsibilities. Additionally, you will research new technologies and tools to enhance solution capabilities, maintain documentation for future development and regulatory compliance, provide project updates to management and stakeholders, and offer technical support for deployed systems. About Us: Oracle is a world leader in cloud solutions, leveraging tomorrow's technology to address today's challenges. With over 40 years of experience, we continue to thrive by partnering with industry leaders across various sectors, operating with integrity and a commitment to innovation. At Oracle, we believe that true innovation flourishes when everyone is empowered to contribute. We are dedicated to fostering an inclusive workforce that provides opportunities for all individuals to grow and succeed. Our global opportunities promote work-life balance, offering competitive benefits, flexible medical, life insurance, and retirement options to support our employees. We also encourage our team members to engage in volunteer programs to give back to their communities. We are committed to ensuring accessibility and accommodation for individuals with disabilities throughout the employment process. If you require assistance or accommodation due to a disability, please contact us at accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

Wayfair's Advertising business is expanding rapidly, contributing significant profits to the company. The team is focused on building Sponsored Products, Display & Video Ad offerings to meet various Advertiser goals and deliver highly relevant Ads to millions of customers. The Ads Platform is evolving to empower advertisers of all sophistication levels to achieve a strong ROI through state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team plays a crucial role in this expansion. Leveraging machine learning and generative AI, the team streamlines campaign workflows and provides impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Intelligent systems for creative optimization and agentic frameworks are also being developed to simplify and enhance advertiser interactions. As a Machine Learning Scientist in the Advertising Optimization & Automation Science team, you will be responsible for developing budget, tROAS, and SKU recommendations, and other machine learning capabilities to support the ads business. Collaborating with other scientists, as well as Product and Engineering teams, you will apply your engineering and machine learning skills to tackle impactful and intellectually challenging problems that directly impact Wayfair's revenue. Responsibilities: - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems to address real-world problems for customers. - Collaborate with commercial stakeholders to understand business challenges and opportunities, developing analytical solutions accordingly. - Work closely with engineering, infrastructure, and machine learning platform teams to ensure best practices in building and deploying scalable machine learning services. - Identify new opportunities and insights from data to improve models and project the ROI of proposed modifications. - Maintain a customer-centric approach in framing, approaching, and solving every problem. Requirements: - 3+ years of industry experience with a Bachelor/Masters degree or 1-2 years of industry experience with a PhD in Computer Science, Mathematics, Statistics, or related field. - Proficiency in Python or another high-level programming language. - Hands-on experience deploying machine learning solutions into production. - Strong theoretical understanding of statistical models like regression, clustering, and machine learning algorithms such as decision trees and neural networks. - Excellent written and verbal communication skills. - Intellectual curiosity and a passion for continuous learning. Nice to have: - Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML). - Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, and machine learning orchestration tools like Airflow, Kubeflow, or MLFlow. - Experience in information retrieval, query/intent understanding, search ranking, recommender systems, etc. - Familiarity with deep learning frameworks like PyTorch, Tensorflow, etc.,

As an Industry & Functional AI Decision Science Consultant within the Accenture Strategy & Consulting Global Network - Data & AI practice, you will have the opportunity to work on high-visibility projects with esteemed Pharma clients worldwide. You will collaborate with leaders in strategy, industry experts, and business intelligence professionals to shape innovative solutions leveraging emerging technologies. Your role will involve supporting the delivery of consulting projects, developing assets and methodologies, and working on a variety of projects such as Data Modeling, Data Engineering, Data Visualization, and Data Science. Additionally, you will be expected to acquire new skills that are applicable across different industry groups, support strategies and operating models, and make presentations to clients when necessary. We are seeking individuals with a Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or a related quantitative field. The ideal candidate will have proven experience working on Life Sciences, Pharma, or Healthcare projects, with a solid understanding of Pharma datasets including commercial, clinical, Real World Evidence (RWE), and Electronic Medical Records (EMR). Proficiency in Statistical Models, Machine Learning, hypothesis testing, multivariate statistical analysis, and optimization is essential, along with hands-on experience in handling datasets like Komodo, RAVE, IQVIA, Truven, and Optum. Strong programming skills in languages such as R, Python, SQL, and Spark are required, as well as experience with cloud platforms like AWS, Azure, or Google Cloud for deploying language models. Familiarity with Data Visualization tools like Tableau, Power BI, Qlikview, or Spotfire is advantageous. In this role, you must possess excellent analytical and problem-solving skills, a data-driven mindset, proficiency in Excel, MS Word, PowerPoint, and strong communication, interpersonal, and presentation skills. Your ability to solve complex business problems, deliver client satisfaction, and build points of view on industry trends will be crucial to your success in this position. Join us in a culture committed to accelerating equality for all and engage in boundaryless collaboration across the organization.,

You will be responsible for building systems and APIs to collect, curate, and analyze data generated by biomedical dogs, devices, and patient data. Your immediate requirements will include developing APIs and backends to handle Electronic Health Record (EHR) data, time-series sensor streams, and sensor/hardware integrations via REST APIs. Additionally, you will work on data pipelines and analytics for physiological, behavioral, and neural signals, as well as machine learning and statistical models for biomedical and detection dog research. You will also be involved in web and embedded integrations connecting software to real-world devices. To excel in this role, you should have familiarity with domains such as signal processing, basic statistics, stream processing, online algorithms, databases (especially time series databases like victoriametrics, SQL including postgres, sqlite, duckdb), computer vision, and machine learning. Proficiency in Python, C++, or Rust is essential, as the stack primarily consists of Python with some modules in Rust/C++ where necessary. Firmware development is done in C/C++ (or Rust), and if you choose to work with C++/Rust, you may need to create a Python API using pybind11/PyO3. Your responsibilities will involve developing data pipelines for real-time and batch processing, as well as building robust APIs and backends for devices, research tools, and data systems. You will handle data transformations, storage, and querying for structured and time-series datasets, evaluate and enhance ML models and analytics, and collaborate with hardware and research teams to derive insights from messy real-world data. The focus will be on ensuring data integrity and correctness rather than brute-force scaling. If you enjoy creating reliable software and working with complex real-world data, we look forward to discussing this opportunity with you. Key Skills: backend development, computer vision, data transformations, databases, analytics, data querying, C, Python, C++, signal processing, data storage, statistical models, API development, Rust, data pipelines, firmware development, stream processing, machine learning,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are preferred for this role. Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. Champion the use of Python as the primary programming language, setting high standards for software development within the team. Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

As an experienced Machine Learning Engineer with 5 to 7 years of experience in Pune, you will play a crucial role in developing, training, and fine-tuning Machine Learning models for AI/ML applications. Your responsibilities will include designing and implementing data pipelines for data processing, model training, and inference. You will be tasked with deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will be an essential part of your role. Additionally, you will be expected to research and implement various ML and AI techniques to improve performance. To excel in this position, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, and PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, is required. Familiarity with Docker and container-based deployments for creating cloud-agnostic products is essential. A strong understanding of AI and Machine Learning concepts, including Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning, is crucial. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is expected. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be beneficial, along with an understanding of various Statistical models.,

As part of the Customer Experience Team, you will play a vital role in assisting the delivery of the customer retention strategy at VGL India, located in Jaipur. Your main responsibility will be to explore innovative approaches to engage with target audiences, retain existing customers, and reacquire former customers across TV, digital, and web platforms. Embracing a customer-centric approach is essential to advance the TJC Omni-channel journey. You will be an integral part of a dynamic and rapidly evolving department within the business, contributing to a customer transformation that holds significant potential for impacting the entire organization positively. In exchange, you will have the opportunity to enhance your skills in digital and traditional direct customer marketing, as well as sharpen your core management and leadership abilities. Your key role and responsibilities will include: - Collaborating within the Customer Experience function to oversee an Omni-channel customer experience and retention strategy - Working closely with the TV, marketing, and digital teams to implement the customer strategy effectively - Leading the development of the CRM strategy, including initiatives like the TJC loyalty program - Analyzing customer behaviors and recommending strategies to enhance customer retention, recency, frequency, and value - Crafting and managing campaigns utilizing tools like Sales Force Marketing Cloud, Klaviyo, and MS Excel - Conducting analysis and generating reports on customer activity, along with proposing enhancements - Managing budgets and ensuring a positive ROI Key skills required for this role: - Strong analytical capabilities, with the ability to process complex information and utilize statistical models like regression analysis in marketing - Proactive and enthusiastic self-starter with a readiness to tackle challenges in a fast-paced TV business environment - Demonstrating accountability, taking the initiative in actions, projects, and team management Qualifications and Experience: - Proficiency in MS Excel is a must - Familiarity with SQL and/or R - Effective written and verbal communication skills This position is based in Sitapura, Jaipur (Rajasthan), and offers an annual compensation ranging from 3,00,000 to 4,00,000 INR. The role falls under the Junior Level category and requires 1-2 years of experience, ideally with a Graduate or Post Graduate qualification. The work mode is Onsite, and it is a Full-time job. Please note that this job description may not cover all aspects of the role, and additional duties may be assigned as per the organization's requirements.,

Job Summary: We are seeking a highly motivated and skilled Project Manager to lead and manage AI-driven projects from conception to deployment. The ideal candidate will bridge the gap between business, data science, and engineering teams, ensuring smooth project execution, alignment with business objectives, and timely delivery. This role requires a deep understanding of machine learning (ML) concepts and AI technologies, coupled with strong project management experience. Key Responsibilities: Project Planning & Execution: Lead the planning, execution, and delivery of machine learning and AI projects from ideation through production. Define project scope, goals, deliverables and timelines in collaboration with stakeholders. Establish clear project roadmaps, milestones, and resource allocation plans. Stakeholder Management: Serve as the primary liaison between cross-functional teams, including data scientists, ML engineers, product managers and business stakeholders. Translate complex AI/ML concepts into business-friendly language for non-technical stakeholders. Manage expectations and ensure alignment between technical capabilities and business objectives. Team Leadership & Collaboration: Coordinate cross-functional teams to drive project success, ensuring collaboration between engineers, data scientists, analysts and business teams. Ensure that team members have clear objectives and are working efficiently toward the project's success. Risk Management & Problem Solving: Identify project risks and develop mitigation strategies. Solve project bottlenecks, troubleshoot technical challenges, and ensure continuous progress. Quality Control & Compliance: Ensure quality control throughout the ML/AI project lifecycle, including model performance and validation. Ensure adherence to ethical AI practices and compliance with data privacy regulations. Reporting & Documentation: Track project progress, provide regular status reports to stakeholders and present key findings. Maintain detailed project documentation, including timelines, deliverables, and performance metrics. Qualifications: Education & Experience: Bachelors degree in Computer Science, Data Science, Engineering, or a related field. A Masters degree or higher is a plus. 3+ years of experience in project management, with at least 1-3 years of experience in AI/ML-related projects. Technical Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), data science tools (e.g., Jupyter, R, Python), and cloud platforms (AWS, Google Cloud, Azure). Understanding of AI/ML workflows, from data collection and preprocessing to model training, deployment, and monitoring. Basic understanding of algorithms, statistical models, data pipelines, and evaluation metrics. Project Management Skills: Proven track record of managing AI or software development projects through agile or traditional project management methodologies. Strong knowledge of project management tools (e.g., Jira, Asana, Trello) and version control systems (e.g., Git). Soft Skills: Excellent communication and interpersonal skills, with the ability to lead and inspire cross-functional teams. Strong problem-solving skills and an ability to navigate through ambiguity and technical complexity. High level of organization and attention to detail.,

As an AI Decision Science Consultant at Accenture Strategy & Consulting, specifically in the Global Network - Data & AI practice under the CMT Software & Platforms team, you will play a pivotal role in helping clients leverage analytics to achieve high performance and make better decisions. In collaboration with onsite counterparts, you will drive the development and delivery of Data & AI solutions for SaaS and PaaS clients. You will have the opportunity to work with a diverse team of talented professionals experienced in leading statistical tools and methods. From gathering business requirements to developing and testing AI algorithms tailored to address specific business challenges, you will be involved in the end-to-end process of delivering AI solutions. Your role will also include monitoring project progress, managing risks, and fostering positive client relationships by ensuring alignment between project deliverables and client expectations. In this role, you will mentor and guide a team of AI professionals, promoting a culture of collaboration, innovation, and excellence. Continuous learning and professional development will be supported by Accenture, enabling you to enhance your skills and certifications in SaaS & PaaS technologies. As part of the Data & AI practice, you will be at the forefront of leveraging AI technologies such as Generative AI frameworks and statistical models to drive business performance improvement initiatives. To excel in this role, you should possess a bachelor's or master's degree in computer science, engineering, data science, or a related field. With at least 5 years of experience in working on AI projects, you should have hands-on exposure to AI technologies, statistical packages, and machine learning techniques. Proficiency in programming languages such as R, Python, Java, SQL, and experience in working with cloud platforms like AWS, Azure, or Google Cloud will be crucial. Your strong analytical, problem-solving, and project management skills will be essential in navigating complex issues and delivering successful outcomes. Excellent communication and interpersonal skills will enable you to engage effectively with clients and internal stakeholders, while your ability to work with large datasets and present insights will drive informed decision-making. Join us at Accenture Strategy & Consulting and be part of a dynamic team dedicated to helping clients unlock new business opportunities through Data & AI solutions.,

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,