7171 Machine Learning Jobs - Page 33

Job Description We are seeking a highly experienced and visionary Lead AI Application Engineer to join our core AI team. This pivotal role will be instrumental in designing, developing, and deploying advanced Generative AI and Agentic AI applications. You will be a key contributor to our strategic initiatives, working on complex problems that require deep technical expertise and a forward-thinking approach. This is an exceptional opportunity for an individual who thrives on building sophisticated, autonomous AI systems and wants to make a significant impact. Responsibilities Provide thought leadership around applying AI and ML technology and help define technical direction and architecture with engineering team members. Leading the exploration and application of Large Language Models, Agentic AI and Generative AI, venturing into new areas within these fields. Architect and implement robust, scalable, and efficient AI systems leveraging a variety of AI/ML, data science, deep learning, and agentic AI frameworks. Drive the integration of complex Model Context Protocol (MCP) and agent-to-agent (A2A) communication protocols, ensuring seamless interaction and optimal performance. Design, build, and deploy autonomous agents capable of complex decision-making and task execution in dynamic environments. Design and implement scalable and efficient AI/ML systems, architectures, and pipelines that can handle large volumes of data and deliver accurate and timely results. Develop and maintain real-world NLP features using the latest techniques for call routing, intent identification, named entity recognition, information retrieval, summarization etc. Conduct extensive research and experimentation with emerging AI technologies, specifically in Generative AI and Agentic AI, to identify and implement innovative solutions. Collaborate closely with cross-functional teams including data scientists, software engineers and product managers to translate business requirements into technical solutions. Regularly self-educate while mentoring and provide technical leadership to other engineers, fostering a culture of continuous learning and excellence. Requirements Qualifications 10+ years of progressive hands-on technical experience in Artificial Intelligence, Machine Learning, Data Science, and Deep Learning. Demonstrated experience (3+ years) actively working on and deploying Generative AI and Agentic AI applications. Extensive hands-on experience with multiple AI and Agentic AI frameworks, such as (but not limited to): Generative AI: TensorFlow, PyTorch, Hugging Face Transformers, OpenAI API, LangChain, LlamaIndex, etc. Agentic AI: LangChain Agents, Auto-GPT, CrewAI, multi-agent simulation frameworks, etc. Experienced with leading LLM models such as OpenAI's GPT series, Google's Gemini, Meta's Llama, and Anthropic's Claude, including fine-tuning and deployment for specific applications. Deep understanding and practical experience with Multi-Component Platforms (MCP) and Agent-to-Agent (A2A) communication patterns. Experience with cloud platforms (Azure, GCP, AWS) and MLOps practices. 5 + years of experience writing and deploying production quality models in languages such as Python Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Knowledge, Skills, And Abilities Expertise in developing on a Azure cloud platform is a big plus Contributions to open-source AI projects, particularly in Generative AI or Agentic AI Familiarity with reinforcement learning and multi-agent reinforcement learning. Outstanding written and verbal communication skills.

Roles and Responsibilities: Collect and curate data based on specific project requirements. Perform data cleaning, preprocessing, and transformation for model readiness. Select and implement appropriate data models for various applications. Continuously improve model accuracy through iterative learning and feedback loops. Fine-tune large language models (LLMs) for applications such as code generation and data handling. Apply geometric deep learning techniques using PyTorch or TensorFlow. Essential Requirements: Strong proficiency in Python, with experience in writing efficient and clean code. Ability to process and transform natural language data for NLP applications. Solid understanding of modern NLP techniques such as Transformers, Word2Vec, BERT, etc. Strong foundation in mathematics and statistics relevant to machine learning and deep learning. Hands-on experience with Python libraries including NumPy, Pandas, SciPy, Scikit-learn, NLTK, etc. Experience in various data visualization techniques using Python or other tools. Working knowledge of DBMS and fundamental data structures. Familiarity with a variety of ML and optimization algorithms.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Lead Assistant Vice President , Risk and Compliance AI and Analytics Principal responsibilities The individual will be responsible for reporting RC AI & Analytics scorecard and key performance indicators in a timely and accurate manner. Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives. Help the business to manage regulatory risk in a more effective, efficient, and commercial way through the adoption of data science (AI/ML and advanced analytics) Support communication and engagement with stakeholders and partners to increase understanding and adoption of data science products and services also research opportunities. Collaborate with other analytics teams across the banks to share insight and best practice. Foster a collaborative, open and agile delivery culture. Build positive momentum for change across the organization with the active support and buy-in of all stakeholders. The ability to communicate often complex analytical solutions to the wider department, ensuring a strong transfer of key findings & intelligence. Requirements University degree in technology, data analytics or related discipline or relevant work experience in computer or Data Science Understanding of Regulatory Compliance, risks and direct experience of deployment of controls and analytics to manage those risks. Experience in Financial Services (experience within a tier one bank) or related industry, Knowledge of the HSBC Group structure, its business and personnel, and HSBC’s corporate culture Experience of agile development and active contribution to strategy and innovation. Solid understanding of applied mathematics, statistics, data science principles and advanced computing (machine learning, modelling, NLP and Generative AI) Experience working within the Hadoop ecosystem in addition to strong technical skills in analytical languages such as Python and SQL. Specific knowledge of GCP, AWS, Azure, Spark and/or graph theory an advantage. Experience of visualization tools and techniques including Qlik and Tableau Solid understanding of data & architecture concepts including cloud, ETL, Ontology, Data Modelling. Experience of using JIRA, GIT, Confluence, Teams, Slack, Advanced Excel You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : Language : Python , PySpark Framework : Django, Flask, Fastapi, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB), Good to have -SQL Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence Good to Have: agentic ai, ai agent A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python . - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Key Responsibilities:Andrology Responsibilities: Diagnose and manage male reproductive conditions such as azoospermia, oligospermia, varicocele, erectile dysfunction, and testicular disorders. Perform and supervise procedures like TESA, PESA, and Micro-TESE for sperm retrieval. Interpret semen analysis, hormonal panels, genetic reports, and scrotal ultrasounds. Collaborate with embryologists and IVF teams in ART (Assisted Reproductive Technology) cycles, including IVF and ICSI. Educate and counsel male patients regarding lifestyle, medical, or surgical interventions to improve fertility. Endocrinology Responsibilities: Diagnose and treat endocrine disorders affecting fertility, such as PCOS, thyroid disorders, hyperprolactinemia, diabetes, adrenal disorders, and pituitary gland abnormalities. Manage hormonal imbalances in both male and female patients that impact reproduction and general health. Interpret endocrine lab investigations and imaging reports to tailor individual treatment plans. Coordinate with gynecologists, urologists, and fertility consultants for multidisciplinary care. Provide hormone replacement therapies or medication-based interventions where appropriate. Job Type: Full-time Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Application Question(s): How many years of relevant clinical experience do you have? Do you have experience working in a fertility clinic or IVF center? What is your highest qualification? What is your current notice period? What is your current monthly salary (CTC)? What are your expected salary requirements for this role? Work Location: In person

Strong programming skills in Python and familiarity with ML libraries (e.g., scikit learn, TensorFlow, PyTorch). Solid understanding of machine learning algorithms, model evaluation, and tuning. Required Candidate profile Exp with AWS ML services, especially SageMaker, S3, Lambda, Step Functions, and CloudWatch. Exp with data engineering tools (e.g., Apache Airflow, Spark, Glue) and workflow orchestration

Company Overview BOLD is seeking a Technical specialist, who will lead our team of innovators and technologists toward creating next-level solutions that improve the way our business is run. Your deep knowledge of design, analytics, development, coding, testing and application programming will help teams raise their game, meeting standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embrace leading-edge technologies and methodologies inspires your team to follow suit. Key Responsibilities Team Leadership Manage and mentor a development team responsible for building and scaling search and match solutions. Foster a culture of collaboration, continuous learning, and technical excellence. Drive recruitment efforts to grow the team with the right talent. Search & Match Optimization Design and implement advanced search capabilities, including text-based search, deep search, semantic search, intent resolution, ranking, boosting, and relevance tuning. Ensure system performance at scale with advanced indexing strategies, sharding, and caching mechanisms. Collaborate with product teams to align search capabilities with business objectives, improving ranking, sorting, and personalization Data-Driven Decision Making in Search and Match Drive a data-first culture by leveraging advanced methodologies to improve search and match capabilities in the jobs domain. Incorporate user behavior signals (e.g., click-through rates, job applications) and feedback loops to continuously optimize relevance and ranking. Design and execute A/B tests, multi-armed bandit experiments, and statistical models to assess the impact of search algorithm changes. Develop and refine personalization techniques, including behavioral matching, skill mapping, and semantic search for tailored job recommendations. Collaborate with data science teams to implement advanced resume parsing and predictive modeling Use geospatial and temporal analytics to ensure search results are contextually relevant and actionable for candidates. Prioritize bias mitigation and fairness in search recommendations to create an inclusive platform for diverse candidates. Architecture & Scalability Provide architectural guidance for building scalable, secure, and efficient applications. Optimize system performance and reliability through best practices in caching, indexing, and data base design. Agile Project Management Oversee project delivery using Agile methodologies, ensuring timely completion of milestones and delivering high-quality output. Facilitate Agile ceremonies, including Sprint Planning, Standups, and Retrospectives. System Health & Operational Excellence Ensure application health through monitoring, incident management, and proactive problem resolution. Drive compliance with enterprise standards for security and scalability Required Skills Strong expertise in search technologies(e.g., Elasticsearch, Solr) and search optimization(boosting, ranking, relevance tuning). Proficiency in backend developmentusingASP.NET Core,C#, SQL, and microservices architecture. Experience with message brokers (Kafka, RabbitMQ) and caching tools (Redis). Knowledge of cloud platforms (Azure, AWS) and CI/CD pipelines. Familiarity with database performance tuning and indexing for SQL and NoSQL databases. Strong grasp of data structures, algorithms, and design patterns. Leadership & Collaboration: Proven ability to mentor and develop high-performing teams. Strong problem-solving and decision-making skills. Excellent communication skills for cross-functional collaboration.

What you'll be doing in your new job: 1. Become an expert in Kvantum marketing analytics platform to perform statistical analysis and modeling as well as engage with Kvantum data science, marketing science & product dev teams to deliver end to end MMM (“Marketing Mix Modeling”) engagements. 2. Leverage understanding of statistical techniques and hypothesis development to design tests/ experiments, analyze data, draw conclusions with actionable recommendations to help Yum! it's Brands & Franchisees, and external Fortune 100 companies with data driven decision making. 3. Understand the outcomes of complex MMM and attribution models (AI/machine learning) to support Yum! And external stakeholders along with their media agencies in building strategic media plans. 4. Build powerful brand story using models with business & technology context, latest marketing activities in real-world. 5. Generate predictive models and optimization scenarios to support budget planning. Required skills Master’s degree with 4-6 years of experience in business analytics OR bachelor’s degree with 4.5+ years of management consulting experience with top tier companies. Good understanding of the statistical models & variables typically used in marketing, customer, category, and/or pricing analytics. Tell a data informed story leveraging MS Power point. Analyze data leveraging various tools - MS Excel, SQL, and/or Python Deliver recommendations to senior leadership. Note: Apart from “must haves”, If you understand any of these (QSR, CPG, Retail, Aggregators) domains at deeper level and/or you have a knack to analyze any business leveraging data, it will set you apart. The Yum! Brands story is simple. We have the four distinctive, relevant and easy global brands – KFC, Pizza Hut, Taco Bell and The Habit Burger Grill - born from the hopes and dreams, ambitions and grit of passionate entrepreneurs. And we want more of this to create our future! As the world’s largest restaurant company we have a clear and compelling mission: to build the world’s most love, trusted and fastest-growing restaurant brands. The key and not-so-secret ingredient in our recipe for growth is our unrivaled talent and culture, which fuels our results. We’re looking for talented, motivated, visionary and team-oriented leaders to join us as we elevate and personalize the customer experience across our 48,000 restaurants, operating in 145 countries and territories around the world! Employees may work for a single brand and potentially grow to support all company-owned brands depending on their role. Regardless of where they work, as a company opening an average of 8 restaurants a day worldwide, the growth opportunities are endless. Taco Bell has been named of the 10 Most Innovative Companies in the World by Fast Company; Pizza Hut delivers more pizzas than any other pizza company in the world and KFC’s still use its 75-year-old finger lickin’ good recipe including secret herbs and spices to hand-bread its chicken every day. Yum! and its brands have offices in Chicago, IL, Louisville KY, Irvine, CA, Plano, TX and other markets around the world. We don’t just say we are a great place to work – our commitments to the world and our employees show it. Yum! has been named to the Dow Jones Sustainability North America Index and ranked among the top 100 Best Corporate Citizens by Corporate Responsibility Magazine in addition to being named to the Bloomberg Gender-Equality Index. Our employees work in an environment where the value of “believe in all people” is lived every day, enjoying benefits including but not limited to: 4 weeks’ vacation PLUS holidays, sick leave and 2 paid days to volunteer at the cause of their choice and a dollar-for-dollar matching gift program; generous parental leave; competitive benefits including medical, dental, vision and life insurance as well as a 6% 401k match – all encompassed in Yum!’s world-famous recognition culture.

Job Description We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Qualifications Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals. Demonstrated understanding of various data technologies, methodologies (e.g., Big Data, Python, R, SQL, Spark, cloud platforms like AWS/Azure/GCP, machine learning algorithms, data warehousing, ETL tools, BI platforms like Tableau/Power BI). Proven ability to develop and execute effective sourcing strategies for highly specialized technical roles. Strong analytical skills with the ability to use data to drive recruitment decisions and report on performance. Exceptional communication, interpersonal, and negotiation skills. Proficiency with Applicant Tracking Systems (ATS). Preferred: Experience recruiting in a fast-paced, high-growth technology environment. Familiarity with employer branding strategies and social media recruitment.

Job Description We are seeking a highly skilled Lead DevOps Engineer with strong On-Premise infrastructure expertise to join our team and drive the end-to-end deployment, scalability, and operationalization of machine learning models in production. You will collaborate closely with data scientists, data engineers, and DevOps teams to ensure seamless CI/CD, reproducibility, monitoring, and governance of ML pipelines. Key Responsibilities Design, implement, and maintain CI/CD pipelines for deploying and monitoring microservices efficiently in on-premise environments. Manage infrastructure as code using Terraform (or equivalent on-prem solutions) for repeatable and scalable provisioning. Deploy and optimize containerized applications using Docker across on-premise environments, integrating with systems such as Harbor (or other private registries), Vault, and on-prem messaging/file storage solutions. Apply best practices for securing Docker images, including vulnerability scanning, reducing image size, and optimizing build efficiency. Implement and maintain centralized logging, monitoring, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system reliability and observability. Ensure security best practices across on-prem environments, including secrets management, access control, and compliance with organizational policies. (Nice to have) Design and manage multi-client architectures within shared pipelines and storage solutions (e.g., NFS, Object Storage). Qualifications 6+ years of experience in DevOps or MLOps with a strong focus on production-grade ML solutions in on-premise infrastructure. Strong expertise in CI/CD tooling, container orchestration (Docker, Kubernetes on-prem clusters), and on-premise infrastructure security. Proficiency in Terraform (or Ansible, Puppet, or similar tools) for infrastructure automation. Deep understanding of Docker, including best practices for securing, optimizing, and managing images. Experience implementing centralized logging and monitoring using on-prem tools (e.g., ELK, Prometheus, Grafana). Experience with security best practices, including secrets management, role-based access, and compliance in an on-premise environment. Experience with Docker Compose for local development and multi-container orchestration.

Job Summary What you need to know about the role- Data scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal s platform and improve the experience for PayPal s hundreds of millions of customers, while guaranteeing compliance with regulations. Meet our team Data scientists in the Fraud Risk team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from accessing customers financial instruments and personal information. As part of our day-to-day job, we are collaborating with a wide variety of partners product owners, data scientists, security experts, legal consults, and engineers, to bring our data science insights to life, impacting the experience and security of millions of customers around the globe. Job Description Your way to impact Data scientists deeply understand PayPal s business objectives, as their impact on PayPal s top and bottom lines is immense. As a data scientist, you will develop key AIML capabilities, tools, and insights with the aim of adapting PayPal s advanced proprietary fraud prevention and experience mechanisms and enabling growth. Your day to day Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. What do you need to bring- Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions. BS/BA degree with 3+ years of related professional experience or master s degree with 1+ years of related experience. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

About Anchanto: Anchanto (A SaaS Product Based Company) helps all businesses to exploit the full potential of e-commerce. Our suite of SaaS Products enables companies globally to springboard omnichannel sales, scale fulfilment operations, and use intelligent data to grow their e-commerce, logistics & warehousing activities. Leading, brands, distributors, retailers, and logistic enterprises such as L Or al, Decathlon, or DHL Supply Chain rely on our technology to scale their local and global e-commerce operations. Headquartered in Singapore and with more than 10 local offices across Asia-Pacific, the Middle East and Europe, we are growing rapidly and looking for ambitious people to join our teams to build the future successes of Anchanto. The Role : Highly skilled and experienced Senior Frontend Engineer ( React.Js). The candidate must possess strong technical knowledge in data engineering, orchestration, machine learning, and analytics, with the ability to independently drive the design, development, and deployment of data solutions. Key Responsibilities: Design and implement scalable and maintainable UI components using React Develop front end code for product requirements and UI/UX designs Optimize applications for performance, speed, and scalability across browsers. Maintain code quality by writing unit and integration tests. Collaborate with designers, product managers, QA, and backend developers Essential Requirements: 5-6+ years of experience in Front end development using React Ability to build and deploy Front end application Expertise in AWS cloud platforms Personal Attributes: Strong problem-solving skills. Strong stakeholder communication abilities Engineering degree. Ability to work independently

for a skilled and motivated MLOps Engineer with 5 years of experience to join our team in Bangalore. This role will involve working closely with data scientists, ML engineers, and DevOps teams to deploy, scale, and maintain machine learning models and data pipelines on AWS infrastructure. Key Responsibilities: Machine Learning & Data Pipelines Solid understanding of ML principles, lifecycle, and deployment practices. Design and build scalable ML pipelines. Deploy ML models on AWS Lambda, EKS, or related services. Manage orchestration with Apache Airflow. Develop automation scripts in Python and collaborate on model implementation. Write and optimize SQL queries for data extraction and transformation. Cloud & DevOps Hands-on with AWS services: Glue, Lambda, S3, SQS, SNS. Analyze CloudWatch logs, set up alerts, and maintain system observability. Build infrastructure using Terraform (IaC). Implement CI/CD pipelines using GitLab for for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

Voyager (94001), India, Bangalore, Karnataka Principal Associate, Office Operations At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since. Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart - a team that embraces bold ideas, fosters collaboration, and delivers world-class products and services impacting over 100 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple - bring ingenuity, simplicity and humanity to an industry ripe for change. At DataLabs, Capital One India, we solve fundamental business problems at scale using advanced machine learning and cutting edge engineering, backed by exceptional product management and design. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale. DataLabs is looking for an experienced Office Operations Specialist . This is a great opportunity for a detail-oriented, innovative, and experienced candidate to drive strategic themes that are key to the well being of the organization and its growth. The people of DataLabs are committed to Capital One s corporate culture of excellence and doing the right thing . Our work environment is fast paced, collaborative, and fosters problem solving and innovation. The ideal candidate for this role should fit well with these organizational attributes. S/he should have exceptional personal integrity and communication skills, and be able to win the trust and respect of associates by communicating openly and consistently meeting commitments. DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives. Specific responsibilities include, but are not limited to: Facilitate the operating rhythm for the organization by leading a team to deliver regular business reviews, staff meetings, town halls, and communications Develop routines and materials to increase leadership effectiveness; including identifying ways to improve, simplify or streamline processes Coordinate across leadership and teams to design the agenda and ensure readiness of materials to be used in larger leadership forums Support and manage recognition programs Manage the Learning and Development program working closely with Human Resources teams and people leaders across various departments in the organization Align organization around team norms to promote, monitor and ensure collective team culture Partner with Communications to design and deliver on effective internal and external communication strategy Empower Administrative Assistants to feel engaged, included, and developed. Ensure that they have the relevant resources or know where to find them to be successful Create a system to develop Administrative Assistant talent via involvement with related projects Deliver ad-hoc requests to support the needs of business priorities Create action plans and path forward for business-wide projects, including tracking and reporting out on status Provide tactical thought partnership to drive project delivery based on defined priorities scope of deliverables, timelines and budget; ensure alignment; identify dependencies, risks and issues and mitigate and / or escalate as needed Capital One DataLabs is growing rapidly. Many exciting opportunities are additionally available for the right candidate depending on experience and performance during the interview process and on the job. These opportunities include program management for senior leadership, strategic staff initiatives, support for our corporate social responsibility and other volunteer programs, recruiting and branding activities, and much more. What are we looking for - Strong communication skills: Impeccable written and verbal communications, coupled with influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills. Discretion in handling highly sensitive issues. - Teamwork: Excellent interpersonal skills and the ability to interact with individuals at all levels of the organization. - Clear results orientation: Resourcefulness with strong problem-solving skills. Display an intense focus on achieving both short and long term goals. Proactivity in taking initiative and driving processes independently. Growth mindset, proven experience with test & learn methods - Strong project management and organizational skills. Intellectually curious - asks questions & challenge conventional thinking. Courage and creativity to create bold solutions. - Successful track record of thriving in a fast paced, entrepreneurial, and dynamic environment. Exhibited track record of quickly putting structure in place to manage work and achieve results - Others: Excellent time management skills and understanding of the urgency of matters related to the task. Strong judgment and emotional intelligence are essential for this position Preferred Qualifications & Experience Degree/Post Graduate. Level of experience: 10+ years, but not a constraint for the right candidate At least 2 years of experience in Process Management, Project Management or equivalent Preferred Qualification Team leadership (direct or indirect teams) Proficiency in Google suite At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City s Fair Chance Act; Philadelphia s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are looking for a Data Modeller to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre-sales and analytics to ensure product creation. Suited to someone who has 3 to 4 years experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights. What youll do Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client. Youll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution You will Use analysis and customer insights to develop value propositions for customers About Experian Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others cant. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, weve helped consumers and clients prosper, and economies and communities flourish - and were not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. Were investing in new technologies, experienced people and new ideas so we can help create a better tomorrow. Experience and Skills What youll need to bring to the party Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc. Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree Decent understanding and hands-on of statistical modelling/data analysis tools especially Python, Pyspark or SAS and market trends Applied statistics skills, such as distributions, statistical testing, regression etc. Understanding of decisioning and portfolio management in banking and financial services would be added advantage Understanding of credit bureau would be an added advantage Additional Information Benefits package includes: Great compensation package. Core benefits include, Group mediclaim Insurance, Sharesave scheme and more! 25 days annual leave & 10 sick leaves. Car Lease policy Role Location: Mumbai Experian is an equal opportunities employer #LI-Onsite Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. Were a "best of both worlds" kind of company. Were big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. Grow as a developer by building things that help local businesses around the world thrive Are you a passionate, energetic and technology enthusiast eager to work at a rapid pace with the flexibility to work across our suite of technologiesAre you a problem solver; someone who enjoys debugging code, resolving issues, and creating solutions for common problems Groupon is an experiences marketplace that brings people more ways to get the most out of their city or wherever they may be. By enabling real-time mobile commerce across local businesses, live events and travel destinations, Groupon helps people find and discover experiences--big and small, new and familiar--that make for a full, fun and rewarding life. Groupon helps local businesses grow and strengthen customer relationships--resulting in strong, vibrant communities. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. Our team is responsible for maintaining and developing Groupons recommendations engine, ensuring personalized and relevant experiences for users. We optimize algorithms, enhance system performance, and support integration with external recommendation engines for specialized use cases, continuously improving recommendation quality through data-driven insights. We re looking for an experienced Senior Machine Learning Engineer to help design and build a next-generation recommendation engine from the ground up. This is a high-impact role where youll work at the intersection of architecture, algorithms, and data infrastructure shaping the technical foundation of a system that will power personalized user experiences at scale. You ll collaborate with product, data, and engineering teams to define the architecture, drive model development, and implement robust pipelines that enable real-time, intelligent recommendations. What You ll Do: Design and implement a scalable architecture for recommendation systems using modern ML frameworks and distributed systems. Build and deploy machine learning models for ranking, retrieval, and personalization. Lead the development of model training and inference pipelines, with a focus on performance, modularity, and observability. Evaluate, experiment with, and iterate on algorithms using offline metrics and online A/B testing. Work closely with engineering teams to integrate models into production systems with robust CI/CD and monitoring. Provide technical mentorship and contribute to shaping long-term ML strategy. What We re Looking For: 8+ years of experience in machine learning, with a focus on recommender systems, ranking, or personalization. Proven experience designing production-grade ML architectures and infrastructure. Strong programming skills in Python or a similar language; familiarity with Java or Scala is a plus. Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, XGBoost, LightFM, etc.). Solid understanding of data engineering principles (ETL, feature stores, data versioning). Hands-on experience with cloud platforms (GCP) and containerized deployments (e.g., Docker, Kubernetes). Familiarity with search engines (e.g., Elasticsearch, Solr) and their integration with ML systems is a plus. Bonus Points For: Experience scaling real-time recommendation systems to millions of users. Familiarity with embedding techniques, deep learning for recommendations (e.g., two-tower models, transformers), or reinforcement learning. Background in experimentation platforms or online testing frameworks. Groupon is an AI-First Company We re committed to building smarter, faster, and more innovative ways of working and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we re always keen to hear how technology improves the way you work. If you re passionate about AI or curious to explore how it can elevate your role you ll be right at home here. Groupon s purpose is to build strong communities through thriving small businesses. To learn more about the world s largest local e-commerce marketplace, click here . You can also find out more about us in the latest Groupon new s as well as learning about our DEI approach . If all of this sounds like something that s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services. Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. Weve noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupons Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers

Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus 4+ years experience in developing and NLP Models Expert level proficiency in python 2+ years experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their realworld advantages/drawbacks hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing UBS is the world s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

Responsibilities Maintain and enhance existing Partner Chatbot experience by updating its Front-End features (user interface design, chatbot card design, dynamic learning experience etc.) Provide appropriate documentation and status according to SCRUM Skill Sets Agile SCRUM certification or equivalent (Professional Agile Leadership, Professional Scrum Developer or Professional Scrum Master from SCRUM.org) Microsoft Azure AI Most Valuable Professional Certified AI Technical Areas of Expertise recognized by Microsoft: Azure Machine Learning, Microsoft Cognitive Services and Microsoft Bot Framework Microsoft Neural Machine Translation expertise Dev Ops on HP private cloud React HTML & CSS Experience Overall 6+ Yrs. Experience Minimum 3+ Yrs. demonstrated experience (through past projects on each of the mentioned skills) EXPERIENCE 6-8 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): CSS, HTML, DevOps Engineering, Azure Data Factory, React & CMS, Agile Framework (SCRUM)

Responsibilities Maintain and enhance existing MS Azure AI Infrastructure Provide appropriate documentation and status according to SCRUM Architect, configure, and deploy bots within Azure VNets and landing zones ensuring scalability and security. Design and manage private endpoints to ensure secure communication between bots and cloud services. Implement Azure security best practices for bot deployment, including role-based access control (RBAC), firewalls, and network security groups. Optimize bot performance using Azure resources such as Application Gateway, Load Balancers, and Traffic Manager. Collaborate with developers and DevOps teams to integrate bots into enterprise environments. Troubleshoot and resolve network connectivity, authentication, and deployment issues. Monitor bot deployments using Azure Monitor, Application Insights, and Log Analytics. Skill Sets Agile SCRUM certification or equivalent (Professional Agile Leadership, Professional Scrum Developer or Professional Scrum Master from SCRUM.org) Microsoft Azure AI Most Valuable Professional Certified AI Technical Areas of Expertise recognized by Microsoft: Azure Machine Learning, Microsoft Cognitive Services and Microsoft Bot Framework Microsoft Neural Machine Translation expertise Dev Ops on HP private cloud HP Cybersecurity policies advanced expertise MS Azure Conversational Language Understanding expertise EXPERIENCE 8-11 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Azure Log Analytics, Azure Data Factory, Agile Framework (SCRUM)

Interested in creating systems and services that bring the power of Machine Learning (ML) to new application fieldsWith IIoT products, our organization is setting the standard for high-performance, easy-to-use, and cost-effective ML services. Our team expands this portfolio to new applications, enhancing our condition-based maintenance program, and maximizing equipment availability. As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this role, you will collaborate closely with a team of research and applied scientists to influence our overall strategy and define the team s roadmap. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large-scale software systems, a good technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment. Join a collaborative engineering environment where your professional development is our priority. Youll work alongside passionate technologists who are committed to nurturing talent and helping you expand your technical capabilities through personalized mentorship and meaningful project assignments. 1. Design and develop distributed machine learning systems for complex industrial applications 2. Create practical code that solves challenging technical problems 3. Mentor junior engineers and contribute to team technical standards 4. Build software for diverse sensor technologies and cloud server systems 5. Collaborate with research scientists to define strategic technology roadmaps Youre a good fit if you demonstrate: Industry-leading technical abilities show-casing a breadth and depth of technical knowledge The ability to build good working relationships within the team by communicating clearly both verbally and in writing Good problem solving and trouble shooting skills with the ability to come up with creative solutions to seemingly impossible problems Effective technical leadership skills to improve technologies and infrastructure of the team Are curious trying new technologies, and passionate about innovating on behalf of customers About the team DST combines the expertise from talented program, product managers, engineers, and scientists to create programs and products that support such programs to drive cost optimization, and prevent events (e.g., unplanned downtime) that negatively impact customer experience. 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Amazon is seeking a Business Analyst in Benchmarking and Pricing Insights Management. We are looking for a self-starter with analytics experience who can work on complex business problems, help provide actionable recommendations in a structured and accurate manner. As a Business Analyst, the candidate will play a key role in the development of key business metrics, reports and insights using data visualization, as required. Business Analyst will be expected to be skilled in understanding customer needs, converting them to analysis requirements, having working knowledge of data availability in various sources, building stakeholder confidence through effective communication and derive recommendations. The candidate would also be responsible for the project plan, scaling of data processes and reports, and project timeline and deliverables. The successful candidate will be a self-starter who is comfortable with ambiguity and large datasets. They will have attention to detail, SQL skills, experience with statistical analysis tools, and the ability to clearly communicate and present data insights. Key Performance Areas: 1. Solve ambiguous problems with less well-defined inputs and outputs; drive to the crux of the problem and identify root causes. 2. Identify, develop and execute data analysis to uncover areas of business opportunities 3.Learn and understand the broad range of Amazon s data resources and develop knowledge of how, when and which data sources to use. 4. Deep dive into massive data sets to answer key business questions using SQL, MS Excel and data analytics tools. 5. Diving deep to fully understand the ETL pipelines, report architecture and metric definitions, debugging report issues and unblocking workflows. 6. Present written recommendations and insights to key stakeholders. 7. Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business intelligence solutions. 8. Own the design, development, and maintenance of ongoing performance metrics, reports, analysis, dashboards, etc. to drive key business decisions 9. Standardize data and report consumption across all customer groups . Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation 10. Work with data engineering, Machine learning and software development teams to enable the appropriate capture and storage of key data points 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel 1.Bachelor s degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field 2. 5+ years of relevant work experience in business intelligence, analytics, statistics, data engineering, data science or related field 3.Advanced proficiency in SQL, ETL management, data modelling, and working with Big Data 4. Experience with data visualisation using Tableau, Power BI, or similar tools 5. Experience with statistical modelling and analysing large data sets 6. Critical thinking skills and attention to detail 7. Both technically deep and business savvy enough to interface with all levels and disciplines within the organisation. 8. Experience in developing requirements and formulating business metrics for reporting. 9. Experience collaborating with business and data engineering teams. 10. Experience using AWS analytical services (e.g., Redshift, EMR)

Role & responsibilities Design, build, deploy and optimize computer vision algorithms/models for tasks such as image recognition, object detection, segmentation, and pattern recognition to solve real world problems Implement and test machine learning and deep learning models for visual data analysis Collaborate with data scientists, software engineers, and domain experts to integrate computer vision solutions into products and applications Collect, preprocess, and annotate datasets for training and validating models Evaluate and improve the performance, scalability, and reliability of deployed vision systems Collaborate with cross-functional teams Stay updated with the latest research and advancements in computer vision and AI, and experiment with new techniques Document algorithms, models, and workflows, and contribute to technical reports Preferred candidate profile Bachelors or Master’s degree in Computer Science, Electrical Engineering, or a related field 2-3 years of experience in computer vision, machine learning, or a related area Proficiency in Python and experience with libraries such as OpenCV, TensorFlow, or PyTorch Able to write clean, maintainable and scalable code which leads to robust, adaptable and maintainable code Solid understanding of image processing techniques and computer vision algorithms Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) Familiarity with version control systems (e.g., Git) Strong analytical and problem-solving skills Good communication and documentation abilities

Were opening our first ever office in India, and looking to hire for a Software Engineer to advance our mission of building real-time multimodal intelligence. In this role, you'll: Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models Work closely with our research team and product engineers to translate cutting edge research into incredible products Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications. What were looking for Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia. Strong engineering skills, comfortable navigating complex codebases and monorepos. An eye for craft and writing clean and maintainable code. You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend). Experience building large-scale distributed systems with high demands on performance, reliability, and observability. Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity. [bonus] Background in or experience working with machine learning and generative models.

Job Opening: Faculty in Business Analytics at ITM Group of Institutions, Navi Mumbai How to Apply: Call 86575 47930 ( Anuja Bhosale) for inquiries. Email your resume to careers@itm.edu or anujab@itm.edu Location: ITM Group of Institutions, Kharghar, Navi Mumbai Organization: ITM Group of Institutions (Website) Working Hours: 6 days a week (2nd & 4th Saturday and all Sundays off) General shift Required Candidate Profile: Flexibility Positive attitude Good communication skills Benefits: 3 paid leaves per month Provident Fund (PF) Medical insurance (Mediclaim) Gratuity Job Description: Teach undergraduate/graduate courses in business analytics, data science, machine learning, statistical analysis, and data visualization. Develop and update course materials, including syllabi, lectures, assignments, and exams. Assess and evaluate student performance. Provide academic advising and mentorship. Foster an engaging learning environment that encourages critical thinking. Participate in departmental, college, and university committees. Help organize academic and industry events (conferences, seminars, guest lectures). Stay updated with advancements in business analytics and related fields. Engage in continuous professional development. Collaborate on interdisciplinary projects and maintain professional networks. Join ITM Group of Institutions and make an impact in the field of Business Analytics!

Join us as Assistant Vice President – Data Analyst, for the Financial Crime Operations Data Domain to implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.. Accountabilities. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.. Execution of data cleansing and transformation tasks to prepare data for analysis.. Designing and building data pipelines to automate data movement and processing.. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.. Documentation of data quality findings and recommendations for improvement.. To Be Successful In This Role, You Should Have:. Experience in Data Management, Data Governance including records management. Ability to review business processes from data lens and identify critical upstream and downstream components especially in financial services organisation – understanding of models, EUDAs etc.. Strong understanding of Data Governance, Data Quality & Controls, Data Lineage and Reference Data/Metadata Management including relevant policies and frameworks.. A clear understanding of the elements of an effective control environment, enterprise risk management framework, operational risk or other principal risk frameworks. Experience of managing stakeholders directly & indirectly and across geographies & cultures.. Strong understanding and practical exposure to application of BCBS 239 principles and related frameworks. Commercially astute, demonstrates a consultative, yet pragmatic approach with integrity to solving issues, focusing on areas of significance and value to the business.. A strong understanding of Risk and Control environment/control frameworks/op risk, including understanding of second and third line functions and impact across people, process and technology.. analytical techniques and tools to extract meaningful insights from complex data sets and drive dataStrategic Leadership: Provide strategic direction and leadership for data analysis initiatives, ensuring alignment with organizational and program goals. Functional understanding of financial crime and fraud data domains would be preferred.. Data Governance: Oversee data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements.. Stakeholder Collaboration: Collaborate with cross-functional teams to identify data needs and deliver actionable insights.. Advanced Analytics: Utilize advanced driven decision-making. Deliver best in class insights to enable stakeholders to make informed business decisions and support data quality issue remediation.. Perform robust reivew and QA of key deliverables being sent out by the team to stakeholders. Demonstrate a collaborative communication style, promoting trust and respect with a range of stakeholders including Operational Risk/Chief Controls Office/ Chief Data Office/ Financial Crime Operations subject matter experts (SMEs), Chief Data Office, Risk Information Services, Technology. Some Other Desired Skills Include:. Graduate in any discipline. Effective communication and presentation skills.. Experience in Data Management/ Data Governance/ Data Quality Controls, Governance, Reporting and Risk Management preferably in a financial services organisation. Experience in Data Analytics and Insights (using latest tools and techniques e.g. Python, Tableau, Tableau Prep, Power Apps, Aletryx ), analytics on structured and unstructured data. Experience on data bases and data science/ analytics tools and techniques like SQL, AI and ML (on live projects and not just academic projects). Proficient in MS Office – PPT, Excel, Word & Visio. Comprehensive understanding of Risk, Governance and Control Frameworks and Processes. Location Noida. Purpose of the role. To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.. Accountabilities. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.. Execution of data cleansing and transformation tasks to prepare data for analysis.. Designing and building data pipelines to automate data movement and processing.. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.. Documentation of data quality findings and recommendations for improvement.. 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. 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.. Take ownership for managing risk and strengthening controls in relation to the work done.. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.. Influence or convince stakeholders 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.. Show more Show less