1436 Clustering Jobs - Page 3

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Work Location: In person

As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Job Description: Key Responsibilities Hands-On Technical Contribution Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement. Team Leadership & Development Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. Provide guidance on career development, performance evaluations, and skill enhancement. Promote continuous learning and adoption of best practices in data science methodologies. Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution Collaborate with senior leadership to define the data science strategy aligned with business objectives. Identify and prioritize high-impact analytics projects that drive business value. Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics. Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes. Translate complex data insights into actionable recommendations for non-technical stakeholders. Facilitate workshops and presentations to promote data driven conversations across the organization. Closely working with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical use of analytics. Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity. Proven track record of managing and delivering complex analytics projects. Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data Experience with media data will be advantageous Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). Knowledge of machine learning frameworks and libraries. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to influence and drive change within the organization. Strategic thinker with a focus on delivering business outcomes. Desirable Attributes Proficient in the following advanced analytics techniques ( Should have proficiency in most) Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including ( Should have proficiency in most ) Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents ( Good to Have ) Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI ( Good to Have ) Strong skills in data management, structuring, and harmonization to support analytical needs (Must have) Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Date: Jun 11, 2025 Job Requisition Id: 61561 Location: Pune, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI Engineer Experience: 2–4 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Build and deploy ML models for classification, regression, and clustering tasks. Apply foundational GenAI concepts such as embeddings, summarization, and RAG. Use APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). Prepare documentation and results interpretation. Required Skills: Strong hands-on experience in Python, Scikit-learn, Pandas. Knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain and vector DBs. Basic exposure to FastAPI or Flask. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Category Data Science Experience Sr. Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Senior Associate- Data Science About the Company At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Today, we are a high-tech company, a scientific laboratory, and a nationally recognized brand all in one impacting over 65 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. As a data scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description At DataLabs Capital One India, we are at the cutting edge of solving some of the fundamental business problems using advanced data methodologies, statistics and machine learning algorithms. In the DataLabs Model Risk Management team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We also understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes and develop increasingly powerful techniques to avoid their repetition. Role Description In this role you will: Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical and machine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones. Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners Leverage a broad stack of technologies — Python, R, Conda, AWS, and more — to reveal the insights hidden within huge volumes of data Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities The ideal candidate is: Inquisitive. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Basic Qualifications: Degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis preferred Atleast 2 years relevant work experience Experience in Python or R Preferred Skills: Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods) Atleast 2 years of experience model development or validation Atleast 2 years of experience in R or Python for large scale data analysis Atleast 2 years of experience with relational databases and SQL Strong analytical skills with high attention to detail and accuracy Excellent written and verbal communication skills 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 a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable 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). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

We are looking for a results-driven Senior SEO Executive with at least 2 years of proven, hands-on experience in driving organic traffic, leads, and conversions through advanced SEO strategies. This role is ideal for someone who lives and breathes SEO, has delivered measurable results, and is confident in managing all facets of search engine optimization—including technical SEO, content optimization, and strategic link-building. Key Responsibilities: 1. On-Page SEO Conduct in-depth keyword research aligned with user intent and business goals. Optimize meta titles, descriptions, header tags, image alt texts, and content structure. Improve internal linking strategy and website architecture for better crawlability and UX. Ensure all content follows current on-page best practices and search guidelines. Regularly audit and update older content for freshness and improved performance. Identify content gaps and create optimization strategies to target new SERP features. Collaborate with design and development teams to ensure SEO-friendly UI/UX. 2. Off-Page SEO Develop and execute white-hat link-building strategies (guest posting, digital PR, HARO, etc.). Conduct backlink audits and disavow toxic links using GSC and third-party tools. Perform detailed competitor backlink analysis to uncover new link opportunities. Build relationships with industry bloggers, influencers, and publications. Monitor off-page metrics like referring domains, authority scores, and link velocity. Develop brand mentions and unlinked citation strategies. 3. Technical SEO Perform full technical audits to identify crawl, indexation, and architecture issues. Optimize site performance for Core Web Vitals, page speed, and mobile usability. Implement structured data (schema) for enhanced SERP visibility (FAQs, How-Tos, etc.). Work with developers to ensure SEO compliance during redesigns and migrations. Manage sitemaps, robots.txt, canonical tags, hreflang tags, and redirect strategies. Regularly test and fix broken links, orphan pages, and crawl errors. Ensure seamless integration between SEO and website analytics tools. 4. Content Strategy & Optimization Collaborate with content, design, and product teams to produce SEO-first content. Create and optimize landing pages, blog posts, and product/service pages for ranking. Use tools like Surfer SEO, Clearscope, or Frase for content scoring and TF-IDF analysis. Perform content gap analysis and topic clustering to build topical authority. Ensure all content aligns with E-E-A-T and Google Search Quality Rater Guidelines. Optimize multimedia content for SEO (images, infographics, videos, PDFs). Monitor SERP changes and update content in line with algorithm shifts. 5. Performance Analysis & Reporting Use Google Analytics 4, Search Console, Ahrefs, SEMrush, or similar tools for performance monitoring. Build actionable reports tracking KPIs: keyword rankings, CTR, bounce rate, conversions, and ROI. Identify areas of decline or stagnation and adjust SEO strategy proactively. Set clear SEO performance benchmarks for campaigns and website sections. Conduct A/B testing for SEO elements like page titles, descriptions, and layouts. Create executive summaries for stakeholders to highlight impact and opportunities. Monitor competitors’ performance and SERP landscape shifts regularly. Requirements: Minimum 0-4 years of proven SEO experience with quantifiable improvements in traffic, leads, or rankings. Strong understanding of search engine algorithms, ranking factors, and evolving SEO trends. Proficient in SEO tools: Google Analytics, Search Console, SEMrush, Ahrefs, Screaming Frog, Surfer SEO, etc. Experience in handling large-scale SEO campaigns, including technical audits, content strategy, and building backlinks, must have at least 3-4 yrs in building backlinks. Good understanding of HTML, CSS, JavaScript, and how site structure affects SEO. Ability to manage and optimize multiple websites and domains under a single brand. Deep analytical mindset with strong command of Excel, Looker Studio, or other reporting tools. Solid grasp of local SEO, international SEO, and e-commerce SEO nuances. Preferred Qualifications: Hands-on experience with CMS platforms like WordPress, Shopify, Wix, Webflow, Java, and React-based sites. Familiarity with Google Tag Manager, event tracking, and schema implementation. Experience in GA4 & GSC is a must Prior experience managing multi-site SEO (e.g., regional or multilingual sites). SEO certifications from platforms like Google, HubSpot, SEMrush, or Moz. Experience working within agile teams or collaborating with product & dev squads. Show more Show less

The Job Excellent programming skills in one or more of (C/C++, Java, Go or similar languages) Scripting Skills (Python, Ruby, or, Bash, etc) Debugging and troubleshooting problems in test and in production Experience with open protocol standards such as Diameter and/or REST interfaces Experience using git/github for version control Knowledge of data modeling, machine learning algorithms, and data science techniques, including the majority of the following topics: clustering, linear regression, classification, decision trees, ensemble methods, boosting, cross validation, model evaluation, feature extraction and selection, hyperparameter tuning is an Asset Knowledge with Linux system configuration, Network Functions Virtualization, and Software Defined Networking is an asset The Skills You Bring Knowledge of web services B.Eng. or M.Eng (or equivalent degree) degree in Engineering or Computer Science What you can expect from us Flexible working hours, hybrid work environment (occasionally may be required to take afterhours call) Career development and advancement opportunities Fast-paced office environment At AppLogic Networks we understand the importance of work-life balance and strives to create a supportive environment that allows employees to excel in their careers without sacrificing their personal lives. AppLogic Networks believes that a positive and fun work environment enhances productivity and job satisfaction. The company organizes team building activities, social events, and other initiatives to promote a sense of camaraderie among employees. AppLogic Networks offers competitive salaries and a comprehensive benefits package, including health insurance, and other perks to ensure the well-being and financial security of its employees. Thank you for your interest in AppLogic Networks. We will contact you if your skills and experience are a match for the role. Otherwise, we’ll keep your resume in case there is a match with future opportunities. AppLogic Networks is committed to supporting a culture of inclusion, diversity and accessibility to employment for all. We are proud to operate as an equal opportunity employer. The AppLogic Networks Global Talent Acquisition Team Behaviors Preferred Team Player: Works well as a member of a group Motivations Preferred Flexibility: Inspired to perform well when granted the ability to set your own schedule and goals

About Highspot Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd. While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets. About The Role We are looking for a skilled and passionate Data Analyst with experience working within the entire analytics lifecycle. As a Data Analyst, you will be responsible for analyzing large and complex data sets to identify patterns, create new metrics, develop predictive models, build dashboards, and generate insights that drive business decisions. You will lead high-visibility high-impact projects and work closely with a skilled and diverse group of domain experts, company leaders, software engineers, data analysts, data engineers, and beyond. Responsibilities Analyze core business topics using Highspot’s product and business data (such as user behavior on the Highspot platform, customer health, and the operations of our internal teams) to gain insights that will drive product development and enhance platform effectiveness. Partner with cross-functional teams and identify opportunities where statistics, machine learning, and operations research techniques can be used to make a significant impact and then design, develop, deploy and monitor those solutions. Partner with our Data Engineering team to conceptualize data pipelines that can extract data and insights for daily business management in an automated manner. Define top-level business, team, and product metrics and build automated reports in close coordination with cross-functional stakeholders. Cultivate a nuanced understanding of Highspot's data and lead research to uncover new opportunities for analytics within Highspot’s product and business. Required Qualifications Advanced degree (MS, BS) in Data Science, Computer Science, Artificial Intelligence, Statistics, or related quantitative fields. 4+ years of experience using SQL to extract and transform complex structured and semi-structured data from a data warehouse (Snowflake, Postgres, Mongo etc). 2+ years of experience using Tableau to build impactful reports and dashboards. 4+ years of experience in Python and related analytics libraries to wrangle, visualize, analyze, and build statistical/Machine Learning models. 4+ years of experience in designing, developing and deploying predictive models to address real-world business problems; relevant techniques include regression, classification, clustering, dimensionality reduction, ensemble methods, recommender systems, and linear/integer programs. 2+ years of experience using git to version control code and collaborate with other Data Analysts and Engineers on projects. 2+ years of experience working with AWS cloud technology. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and solving impactful business problems. Excellent written and verbal communication skills to explain complex research to technical and non-technical audiences and to publish insights from your work. Driven by empathy to support, learn, and contribute to a team’s success. Prior experience working remotely with a team based in the U.S. is preferred. Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button. Show more Show less

Job Reference # 318879BR Job Type Full Time Your role Do you have sharp analytic skills? Do you know how to solve problems and develop innovative solutions? Do you enjoy responsibility and independent work? We’re looking for Data Analyst/Team Lead with practical knowledge in Python to: able to apply data science and statistical techniques to real problems, well organized and dependable, able to turn large datasets into an asset across the organization, able to collect and combine data from multiple sources, analyze it for insights and produce great visuals Your team UBS Evidence Lab is the most experienced global team of alternative data experts. We’re a collection of data and software engineers, quantitative market researchers, social media experts, data pricing whizzes, and more. This diversity allows us to look at problems from differing perspectives and turn data into evidence. You’ll be working closely with various Data Analyst teams, which are a part of a street-leading primary research platform called Evidence Lab. Your role will be focused on ability to systematically analyze and build statistical models on companies and markets that Evidence Lab does research on. Your main goal is to give insights for better business decisions. Our offices are located Globally and you will be working closely with analysts based out of Poland, US, UK, and APAC. You would be required to work from UBS BSC Hyderabad (India). Your expertise data processing and programming skills in Python including knowledge of libraries used for data analysis / data science, experience in data analysis and data science techniques, knowledge of statistical and econometric techniques: time series (stationarity), clustering, regression, variable methods selection, out of sample testing, good practical understanding of SQL, understanding of NLP techniques would be a benefit, the ability to deliver under time pressure and work independently, excellent written and oral English high degree of proactivity and creativity willingness to collaborate and work in a team ability to take ownership of projects and processes for continuous improvement excellent attention to detail team management flexible approach on working hours and work timings About Us 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.. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

Summary Position Summary Data Scientist Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team? If yes, we have just the role for you. In Deloitte’s Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations. You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs. As a Data Scientist, you will be supporting the Data Science group and actively participating in the entire lifecycle of a data science project, including exploratory data analysis, feature engineering, model creation, and model optimization to boost performance and accuracy. It is important that the person in this role is proactive and independent. You should be a problem solver with an open mind and an eagerness to pick up new skills. Specifically, you will be expected to: Develop, test, and deploy machine learning/AI models Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives Contribute to internal discussions on emerging machine learning methodologies Qualifications Required: 2+ years of relevant experience Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) Experience using Python and relevant libraries ( NumPy, Pandas, Scikit-learn, etc.) Coursework related to machine learning, deep learning, and programming At least an introductory understanding of LLMs and prompt engineering Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Demonstrated ability to write high-quality code Demonstrated ability to develop machine learning models Ability to travel as needed ( Preferred: 3+ years of relevant experience Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) Relevant work experience (internships, school jobs, etc.) Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps Familiarity with machine learning model development life cycles Experience with version control practices and tools (Git, etc.) Public AI-related projects you have developed available on GitHub Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300881 Show more Show less

As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Job Description: Key Responsibilities Hands-On Technical Contribution Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement. Team Leadership & Development Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. Provide guidance on career development, performance evaluations, and skill enhancement. Promote continuous learning and adoption of best practices in data science methodologies. Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution Collaborate with senior leadership to define the data science strategy aligned with business objectives. Identify and prioritize high-impact analytics projects that drive business value. Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics. Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes. Translate complex data insights into actionable recommendations for non-technical stakeholders. Facilitate workshops and presentations to promote data driven conversations across the organization. Closely working with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical use of analytics. Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity. Proven track record of managing and delivering complex analytics projects. Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data Experience with media data will be advantageous Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). Knowledge of machine learning frameworks and libraries. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to influence and drive change within the organization. Strategic thinker with a focus on delivering business outcomes. Desirable Attributes Proficient in the following advanced analytics techniques ( Should have proficiency in most) Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including ( Should have proficiency in most ) Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents ( Good to Have ) Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI ( Good to Have ) Strong skills in data management, structuring, and harmonization to support analytical needs (Must have) Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Company Description Every day, thousands of patients across India face delays, stress, and reduced quality of care due to cumbersome administrative processes and insurance claim challenges. At Vitraya, we directly confront these issues by using advanced AI to streamline healthcare operations, eliminate administrative friction, and ensure healthcare providers can fully focus on patient outcomes. Role Description This is a full-time role for a Senior Fullstack AI/ML Engineer. The selected candidate will be responsible for designing, developing, and implementing AI and machine learning models, with a focus on pattern recognition and neural networks. Daily tasks include coding and software development, data analysis, and improving existing algorithms. The Senior Fullstack AI/ML Engineer will work closely with cross-functional teams to ensure the integration of AI solutions into the claims settlement process. We are looking for a passionate Senior AI/ML Engineer committed to building transformative solutions that positively impact patient care and healthcare delivery. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Why Join Us: Direct Patient Impact: Your contributions will significantly enhance patient care quality and reduce administrative burdens on healthcare providers. Innovation with Real Outcomes: Be part of pioneering AI applications that provide tangible, measurable improvements in healthcare. Professional Growth: Tackle unique, meaningful challenges that will sharpen your skills and offer growth in a supportive, collaborative environment. Empowered Team: Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of a dedicated, mission-driven team. Required Skills & Qualifications • Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. • AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. • Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. • Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. • Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. • Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. • MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. • Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. Show more Show less

🤖 Machine Learning Intern – Remote | Step into the Future of AI Are you fascinated by how machines learn, predict, and improve over time? Dive into the world of intelligent systems with Skillfied Mentor as a Machine Learning Intern and gain real-world experience in building ML models and handling data. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Machine Learning Intern , you’ll work on projects that involve real datasets, basic algorithms, and collaborative problem-solving. This is your chance to apply coding and math to develop intelligent solutions. Understand core ML concepts like regression, classification & clustering Work with Python libraries like Scikit-learn, Pandas, NumPy Assist in preprocessing data, training models, and analyzing performance Explore real use-cases in recommendation, prediction, and automation Collaborate remotely with mentors and peers in the AI/ML field 🔍 You’re a Great Fit If You: ✅ Know or are learning Python and ML concepts ✅ Are curious about how algorithms work behind the scenes ✅ Can commit 5–7 hours per week (remotely and flexibly) ✅ Are analytical, logical, and love experimenting with data ✅ Want to build practical machine learning projects for your future 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Hands-On ML Projects for Resume & GitHub 🧠 Practical Exposure to Model Building & Evaluation 📈 Experience in Solving Real Problems with Machine Learning ⏳ Last Date to Apply: 20th June 2025 Whether you're a student, beginner, or transitioning into AI – this internship will help you develop real, applicable skills in Machine Learning . 👉 Apply now and let your ML journey begin with Skillfied Mentor. Show more Show less

Company Profile Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States. It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business. With expertise is in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas - IT staffing on demand, innovation and growth by focusing on cost and problem solving. Location & work – New Delhi (On-Site), WFO Employment Type - Full Time Profile – AI/ML Engineer Preferred experience – 3-5 Years The Role: We are seeking a highly skilled AI/ML Engineer with strong expertise in traditional statistical modeling using R and end-to-end ML pipeline configuration on Databricks. The ideal candidate will play a key role in designing, developing, and deploying advanced machine learning models, optimizing performance, and ensuring scalability across large datasets on the Databricks platform. Responsibilities: Design and implement traditional ML models using R (e.g., regression, classification, clustering, time-series). Develop and maintain scalable machine learning pipelines on Databricks. Configure and manage Databricks workspaces, clusters, and MLflow integrations for model versioning and deployment. Collaborate with data engineers, analysts, and domain experts to collect, clean, and prepare data. Optimize models for performance, interpretability, and business impact. Automate data workflows and model retraining pipelines using Databricks notebooks and job scheduling. Monitor model performance in production and implement enhancements as needed. Ensure model explainability, compliance, and reproducibility in production environments. Must-Have Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Minimum 3+ years of experience in machine learning and data science roles. Strong proficiency in R for statistical modeling and traditional ML techniques. Hands-on experience with Databricks: cluster configuration, workspace management, notebook workflows, and performance tuning. Experience with MLflow, Delta Lake, and PySpark (optional but preferred). Strong understanding of MLOps practices, model lifecycle management, and CI/CD for ML. Familiarity with cloud platforms such as Azure Databricks, AWS, or GCP. Preferred Qualification: Certification in Databricks or relevant ML/AI platforms is a plus. Excellent problem-solving and communication skills. Application Method Apply online on this portal or on email at careers@speedmart.co.in Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

Data Science Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models Show more Show less

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Splunk Administration Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : a: 15 years of full time education Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have Skills : Splunk Administration Good to Have Skills : No Technology Specialization Job Requirements : Key Responsibilities : Key Responsibilities a: Standardized Splunk agent / tool deployment, configuration and maintenance across a variety of UNIX and Windows platforms b: Experience with Splunk Searching and Reporting, Knowledge Objects administration, Clustering and Forwarder Management c: Support Splunk / tools on Unix, Linux and Windows-based platforms Technical Experience : Technical Experience a: At least 5 years of experience in IT with minimum 3 years in Splunk / tools implementation b: Skills in technical areas which support the deployment and integration of Splunk based solutions, Splunk Apps and Add-ons for monitoring and data integrations- including Infrastructure, Network, OS, DB, Middleware, Storage; Virtualization, Cloud Architectures etc c: Good to have knowledge on Java scripting, Python, shell scripting-based development Professional Attributes : a: Excellent customer facing skills b: Experience working with a global team c: Strong analytical and problem-solving skills d: Good verbal and written communication skill Educational Qualification: a: 15 years of full time education Additional Info : Have Splunk architect overview knowledge and splunk app build know Show more Show less

Management Level: Ind & Func AI Decision Science Analyst – Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge: CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Professional & Technical Skills Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Show more Show less

About Client Our client is a market-leading company with over 30 years of experience in the industry. As one of the world’s leading professional services firms, with $19.7B, with 333,640 associates worldwide, helping their clients modernize technology, reimagine processes, and transform experiences, enabling them to remain competitive in our fast-paced world. Their Specialties in Intelligent Process Automation, Digital Engineering, Industry & Platform Solutions, Internet of Things, Artificial Intelligence, Cloud, Data, Healthcare, Banking, Finance, Fintech, Manufacturing, Retail, Technology, and Salesforce Hi....! We are hiring for below Positions Job Title: AI/ML Developer Key Skills: AI/ML , Deep Learning , Machine Learning, Gen AI , Python, Image Processing , Computer Vision Job Locations: Hyderabad Experience: 5 – 10 Years Budget: 13 – 15LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: Image Analytics & Computer Vision (CV) Machine Learning & Deep Learning Predictive Analytics & Optimization Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: Lead and contribute to projects centered around image analytics, computer vision , and visual data processing . Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. Integrate multi-sensor data fusion and multivariate analysis for industrial applications. Collaborate with cross-functional teams to implement predictive maintenance , fault detection , and process monitoring solutions using visual and sensor data. Mandatory Skills: Strong hands-on experience in Computer Vision and Image Analytics . Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. Solid understanding of machine learning techniques : classification, regression, clustering, anomaly detection, etc. Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. Familiarity with Generative AI and LLMs is a plus. Desirable Skills: Knowledge of optimization techniques and simulation modeling . Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems . Educational & Professional Background: Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: Strong analytical and problem-solving skills. Ability to work independently and manage multiple projects. Excellent communication and stakeholder engagement skills. Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to sushma.n@people-prime.com Show more Show less

About Us: At Articul8 AI, we relentlessly pursue excellence and create exceptional GenAI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same Job Description: Articul8 AI is seeking a Data Scientist to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will work on machine learning models, large language models (LLMs), and AI applications while optimizing performance for production environments. This role requires expertise in AI/ML frameworks, cloud platforms, and software engineering best practices. You will be developing and deploying advanced deep learning and generative AI models and algorithms to enhance existing products or to create new products that fulfill critical business needs. In this role, you will be working closely with Product Management and Engineering teams to build GenAI products at scale. You will be responsible for transforming business needs to technical requirements and for leveraging state of the art research to develop and deliver products. You will also support Engineering with testing and validation of the product. Design, develop, and deploy AI-driven solution in production that solve real-world problems at scale. Train, fine-tune, and optimize deep learning and LLM-based solutions to enhance existing products or to create new products. Evaluate and implement state-of-the-art AI/ML algorithms to improve model accuracy and efficiency to enhance and deliver product. Optimize models ensuring low latency and high availability for cloud and on-prem environments. Collaborate closely with engineering teams and product management to build GenAI products at scale. Work with large-scale datasets, ensuring data quality, preprocessing, and feature engineering. Develop APIs and microservices to serve AI models in production at scale. Handle large-scale datasets, preprocessing, and feature engineering to ensuring data quality. Responsible for transforming business needs to technical requirements to develop and deliver products. Stay up to date with the latest AI trends, research, and best practices. Ensure ethical AI practices, data privacy, and security compliance Required Qualifications Master’s Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 10 to 15 years of experience In-depth knowledge and experience with algorithms for time series analysis including data pre-processing, pattern recognition, clustering, modeling and anomaly detection. Strong expertise in Deep Learning, Machine Learning and Generative AI models (including Language, Vision, Audio and Multi-modal models) Exposure to one or more of the following domains - Optimization, Stochastic Processes, Estimation theory Experience in deploying deep learning models on multiple GPUs Experience in developing models and algorithms using ML frameworks like PyTorch, TensorFlow Strong programming skills in one or more of the following languages - Python, Golang Experience in building Docker images in creating scalable, efficient, and portable applications Experience in Kubernetes for container orchestration and writing YAML manifests to define how applications and services should be deployed Knowledge of cloud platforms at least one of AWS, Azure, GCP and its services for deployment of applications Strong verbal and written communications skills. Preferred Qualifications Ph.D, in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 6 to 8 years of experience. Deep expertise and experience in training/fine-tuning large language models on large GPU clusters. Experience in parallel programming including data, model and tensor parallelisms with PyTorch and TensorFlow Deep experience in building and scaling machine learning / deep learning or GenAI applications with Docker and Kubernetes. Strong working experience with at least two cloud service providers (AWS, Azure GCP). Knowledge of CI/CD pipelines, MLOps like MLflow, Kubeflow, or TensorBoard. Deep expertise and experience in one or more of the following areas like finance, healthcare, engineering. Ability to transform business needs to technical requirements, define tasks, metrics and milestones. Ability to communicate technological challenges and achievements to various stakeholders. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise. Show more Show less

Skills Required Basic understanding of infrastructure architecture, industry standards and best practices methodology Highly motivated, ability to lead and influence Experience in infrastructure related role, Proven success in projects in large scale projects Strong technical design skills Ability to effectively communicate, coordinate and collaborate successful track record of effective vendor management Knowledge of emerging technologies and vendor landscape, Ability to balance cost against benefits Understanding of business drivers and all stakeholders requirements Understanding of documentation and frameworks Experience in capacity and performance management, understanding of application lifecycle management Hands on experience and expertise with specific infrastructure technologies relevant to organizational needs, including operating systems software, virtualization, automation (on multiple platforms) Creative thinking, innovative approach for solution design, implementation and problem solving. Set and manage stakeholder expectations. Recommend solutions as per RFP requirements or any change order coming from existing clients. Manage vendor relationships from technical matters perspective. Mediate between infrastructure and delivery / development group. Establish and vet key vendors relationships. Assess emerging technologies from key OEMs Guide sales team on price vs performance issues. Experience 8- 15 years of overall experience in the field of IT Infrastructure is essential. Must have at least 3 years experience in designing and implementing products or solutions of any one domain mentioned below: Enterprise Servers & Storage (Cloud computing / Virtualization / Consolidation / Data center / Business Continuity / Backup / Enterprise Servers , Storage and Tape Technologies, Clustering / High availability etc) Enterprise Networking and security ( Routing and Switching protocols, network architecture, connectivity options, network management, remote access, data security, standards and compliance, identity management, log management etc ) Datacenter ( Tier 3 / 3+ DC build including power & cooling) access control and building management system etc) Certifications Any of the industry standard IT Infrastructure related certifications like RHCE/ MCSE / MCTS/ CCNA / CCIE / VCP /CISSP is essential. Also, PMP or ITIL certification will be an advantage. Job Description As part of Solution Architecturing Team (SAT), IT Infrastructure Architect will be responsible for design and delivery of end to end IT Infrastructure solutions for clients from across business will include : Design of IT infrastructure solutions - develop technology strategy with logical and physical designs to meet client requirements, using standard architecture methodologies. Handle multiple infrastructure technologies based on project requirements Preparation of bill of material, technical write-ups for solutions developed Documentation of architecture design to various levels of details Work at CxO level executives to capture of client technical requirements /articulate the solution. Detailed briefing with presentations for larger client audience Work as an individual contributor. Ensure delivery of the infrastructure solutions designed as per scope & project timelines, through right set of internal/external partners. (ref:hirist.tech) Show more Show less

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

Join us as an Infrastructure Analyst Hone your analytical skills as you provide support to ensure the operational health of the platform, covering all aspects of service, risk, cost and people You’ll be supporting the platforms’ operational stability and technology performance, including maintaining any system’s utilities and tools provided by the platform This is an opportunity to learn a variety of new skills in a constantly evolving environment, working closely with feature teams to continuously enhance your development We're offering this role at associate level What you'll do As an Infrastructure Analyst, you’ll be providing input to and supporting the team’s activities to make sure that the platform integrity is maintained in line with technical roadmaps, while supporting change demands from domains or centres of excellence. You’ll be supporting the delivery of a robust production management service for relevant infrastructure platforms. In addition, you’ll be contributing to the delivery of customer outcomes, innovation and early learning by contributing to test products and services to identify early on if they are viable and deliver the desired outcomes. Your Role Will Involve Contributing to the platform risk culture, making sure that risks are discussed and understood at every step, and effectively collaborating to mitigate risk Contributing to the planning and execution of work within the platform and the timely servicing of feature development requests from cross platform initiatives, and supporting the delivery of regulatory reporting Participating and seeking out opportunities to simplify the platform infrastructure, architecture, services and customer solutions, guarding against introducing new complexity Building relationships with platform, domain and relevant cross-domain stakeholders Making sure that controls are applied and constantly reviewed, primarily against SOX, to ensure full compliance to all our policies and regulatory obligations The skills you'll need To succeed in this role, you’ll need to be a very capable communicator with the ability to communicate complex technical concepts clearly to colleagues, including management level. You’ll need a solid background working in an Agile or DevOps environment with continuous delivery and continuous integration. We’ll Also Look To You To Demonstrate Knowledge of Veritas or Red Hat clustering, partitioning, virtualization and storage administration and integration with operating systems Experience working on Unix, Linux, Solaris VERITAS clustering and VXVM implementation Experience of Disaster Recovery Planning and conducting DR tests An understanding of SAN and NAS Migrations Understanding of operation system upgrades and patching Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform, Oracle Procedural Language Extensions to SQL (PLSQL), PySpark Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking ways to enhance application efficiency and user experience. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Participate in code reviews to ensure adherence to best practices and coding standards. Professional & Technical Skills: -- Backend Engineer who is good on niche backend skills preferably on Databricks, integration and Reporting skillset - Microservices Architecture and Rest patterns using leading industry recommended security frameworks. - Cloud and related technologies such as AWS, Google, Azure. - Test Automation Skills using Behavioral Driven Development. - Data Integration (batch, real-time) following Enterprise Integration Patterns. - Relational Database, No SQL Database, DynamoDB and Data Modeling, - Database development & tuning (PL/SQL/XQuery). - Performance (threading, indexing, clustering, caching). - Document-centric data architecture (XML DB/NoSQL). Additional Skills: Tableau, Angular, Performance Tuning Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Hyderabad office. - A 15 years full time education is required. Show more Show less

: MS SQL Developer Skills Required: 3 years in SQL Server 2005, 2008r2, and 2012 UTA & production. Experience in handling SQL Server 2005, 2008r2, and 2012 UTA & production. Strong knowledge of MS SQL Development. Experience in SQL Performance Tuning, SQL Clustering, SQL Queries performance tuning. Hands-on experience in writing and executing stored procedures, functions, complex T-SQL queries, well-versed with JOBS, views, indexes, and query performance tuning. Good exposure to LOG Shipping, MIRRORING, Data Modeling. Job Requirement: Bachelors degree in Computer Science, Information Technology, or MCA. 3 years of experience in a relevant role. Good analytical and problem-solving ability. Detail-oriented with excellent written and verbal communication skills. The ability to work independently as well as collaborate with a team. Experience: 3 Years Job Location: Pune, India Show more Show less

: MS SQL Developer Skills Required: 3 years in SQL Server 2005, 2008r2, and 2012 UTA & production. Experience in handling SQL Server 2005, 2008r2, and 2012 UTA & production. Strong knowledge of MS SQL Development. Experience in SQL Performance Tuning, SQL Clustering, SQL Queries performance tuning. Hands-on experience in writing and executing stored procedures, functions, complex T-SQL queries, well-versed with JOBS, views, indexes, and query performance tuning. Good exposure to LOG Shipping, MIRRORING, Data Modeling. Job Requirement: Bachelors degree in Computer Science, Information Technology, or MCA. 3 years of experience in a relevant role. Good analytical and problem-solving ability. Detail-oriented with excellent written and verbal communication skills. The ability to work independently as well as collaborate with a team. Experience: 3 Years Job Location: Pune, India Show more Show less