59 Time Series Jobs - Page 2

Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning Locations: Mumbai/Pune/Noida/Bangalore/Jaipur/Hyderabad

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

* 6-10 years of total DS and model development experience * A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role * Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. * Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL * Experience in Time Series Forecasting Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems * Encourage collaboration with various stakeholders and take complete ownership of deliverables. * Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations * Effective mentoring of a team with expertise in industry/domain/functional areas

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Graph Analytics Familiarity with Graph Algorithms (Directed & Undirected) Traversal (BFS, DFS), Cycle Detection (Bellman Ford, Flyod Warshall), Shortest Path (Dijkstra, A*) etc. Building Knowledge Graphs with unstructured data and knowledge graph optimizations like PageRank/TrustRank is expected Mathematical Optimization Familiarity with common optimization algorithms, both discrete Linear, Mixed-Integer, Goal, Dynamic etc and continuous GD and its variants, Newtons method etc. is expected. Experience with Simulated Annealing and exposure to ML inspired evolutionary optimization algorithms like Genetic Algorithm & Genetic Programming for optimization is a plus. Simulations Monte Carlo Simulation, Discrete-Event Simulation, Agent-Based Simulation, Hybrid Simulation, System Dynamics, Genetic Algorithm based Simulation. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Your Profile Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Master s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. Position Overview: As a Senior Data Scientist, you will be involved in end-to-end development of Ad-Tech products and capabilities that fulfil strategic priorities and power growth of Roundel, Target s Retail media business. You will leverage understanding of data and algorithms to build prototypes and run experiments to evaluate them against given specifications. As you follow agile processes, you will implement and deploy a scalable data science solution by using MLOps best practices across model development life cycle. You will collaborate with product and business partners to seek feedback on effectiveness of solution and identify future opportunities for enhancements. You will work with your peers to create a well-maintainable & tested codebase with relevant documentation. The exciting part of retail and mediaIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience 3+ years of professional experience or equivalent industry experience Good knowledge and experience developing optimization, simulation and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches, where required Strong hands-on programming skills in Python, SQL, Spark, Hadoop/Hive . Good working knowledge of mathematical and statistical concepts, MILP, algorithms and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like r egression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About Us here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

What this role entail Understand and translate statistics and analytics to address client business problems. Apply Statistical forecasting algorithms to forecast client business needs for short term and long-term horizon. Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy. Create business narrative by using storytelling and Visualization techniques and to present analytical insights to clients. Structure business problems and design solutions to meet client needs. Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams. Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights. What lands you in this role At least 3 years hands-on experience as a data scientist working on R, SQL, Python Must have exposure to developing predictive analytics and machine learning algorithms for business applications Strong forecasting and Deep Learning experience will be a plus Hands-on experience in relevant tools like SQL, R, Python, Tableau, etc. B Tech/ BE or equivalent degree in Data Science, Statistics, Computer Science, or similar

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Staff Software Engineer to join our Unified API platform team. Reporting to the Director, you'll be responsible for: Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field with 4+ years of professional experience in data science or a related role Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks Strong experience with networking and end-point observability systems Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Published research or contributions to digital experience/end-user observability/networking/ data science community Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies Experience with designing complex systems and scaling ML models on large scale distributed systems #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Associate Consultant Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What You’ll D o Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What You’ll Bring Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) - Good programming skills in Python with strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. - Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) - Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning - Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models - Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. - Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) - Experience applying various machine learning techniques and understanding the key parameters that affect their performance - Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs - Excellent verbal and written communication - Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: - Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: - Connect with internal / external POC to understand the business requirements - Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis - Create project plan and sprints for milestones / deliverables - Spin VM, create and optimize clusters for Data Science workflows - Create data pipelines to ingest data effectively - Assure the quality of data with proactive checks and resolve the gaps - Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms - Research whether similar solutions have been already developed before building ML models - Create optimized data models to query relevant data efficiently - Run relevant ML / DL algorithms for business goal seek - Optimize and validate these ML / DL models to scale - Create light applications, simulators, and scenario builders to help business consume the end outputs - Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively - Integrate and operationalize the models in client ecosystem - Document project artifacts and log failures and exceptions. - Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks Required Skills g, Pyspark, Python, SQL, GenAi, NLP, Casical ML, DL, Supervised ML, Transformer Models, Transformers, Unsupervised ML

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks Required Skills g, Pyspark, Python, SQL, Supervised ML, Transformer Models, Transformers, Unsupervised ML, GenAi

• Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling , and hierarchical models to address complex business challenges. • Analyze large datasets using statistical techniques to extract actionable insights and trends. • Collaborate with stakeholders to understand business needs and translate them into analytical solutions. • Present findings and recommendations clearly to both technical and non-technical audiences. • Stay current with industry trends, statistical methodologies, and best practices in data analysis. • Document methodologies and results, ensuring transparency and reproducibility of models. • Conduct exploratory data analysis to inform model development and improve accuracy. • Participate in continuous improvement initiatives to enhance modelling processes and tools. Qualifications: • Masters degree or above in Statistical Sciences. • Proven experience in statistical modeling, data analysis, and predictive analytics. • Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI). • Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference. • Excellent problem-solving skills and attention to detail. • Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences. • Experience with data management and database systems (e.g., SQL) is a plus. What we Offer • Competitive salary • Medical Benefits/Accident Cover • Flexi Office Working Hours • Fast paced start up

Job Title - S&C Global Network - AI - Supply Chain Analytics Management Level:Constant/ Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions – descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions – demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.

I am seeking an AI expert who can train the software professional on Machine learning, NLP concepts, and Deep learning frameworks. (Virtual, or hybrid) Required Candidate profile Candidates should have worked with Deep Learning Frameworks, Machine Learning Operations, NLP

We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions , ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems. Key Responsibilities: Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases. Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc. Collaborate with stakeholders to translate business problems into data science solutions . Perform EDA, feature engineering , and data preprocessing on structured and unstructured data (text, images, documents). Implement model performance monitoring , drift detection, and retraining strategies. Work with MLOps/engineering teams to ensure scalable, production-grade model deployment. Stay up to date with new GenAI and ML research trends and identify opportunities for business impact. Mentor junior data scientists and support peer review of code, model design, and documentation. Required Qualifications: Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Experience: 58 years of professional experience in data science , with proven delivery of ML/AI models in production. Technical Skills: Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch. Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting. Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines). Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma). Proficient in using SQL and working with large datasets. Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar). Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus. Preferred Skills: Experience with NLP, Computer Vision , or time-series modeling . Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation). Familiarity with vector search, RAG architecture , and document intelligence workflows. Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus. Key Attributes: Strong business acumen and stakeholder communication. Ability to balance research mindset with production-readiness . Passion for innovation, continuous learning, and cross-functional collaboration. Team player with mentoring and leadership qualities.

Relevant 8 to 13 years experience. Remote Working Joining Time : Immdidate joiner Duration : 6 months Job Type : Contract ROLE DESCRIPTION IBP Supply Lead responsible for Designing and helping build successful implementations of SAP IBP in customer organizations. Liaising with Sales and Delivery Teams to help grow the Services Business around IBP in line with Organizational strategy and goals. Mentoring Junior IBP Team members within the Organization. Drive Assist with building Assets and Accelerators within SAP IBP. No of Implementations should be at least two End to End IBP implementations not including Rollouts Mandatory. QUALIFICATIONS AND EXPERIENCE Qualification Graduate in Engineering, Post Graduate MBA, MTech, MS in Operations Management SCM preferred. Mandatory Qualification should be 8 Plus years of Supply Chain Planning Experience with at least 3 years in SAP IBP. Desirable Experience in SAP APO or other Planning solutions would be an added advantage. Process Knowledge Deep Process understanding of end to end Supply Chain planning familiarity expertise with SCOR model is preferred technology agnostic. Expertise in atleast 2 industries eg, CPG, Chemical, Automotive, Life Sciences etc. Technical Expertise Good level of understanding of all modules of SAP IBP with expertise in IBP for Time series. Deep knowledge and experience in end to end IBP implementation projects in Process and Discrete industries. Ability to lead and conduct Design workshops in front of an audience comprising of both Business and IT teams. Ability to conduct User Acceptance testing and Business user training sessions. Ability to work on complex configuration scenarios, create planning areas, define key figure calculations, create planning view, application jobs and other set up required to build Demand and Supply. Deep knowledge on Statistical Forecast algorithms, Product segmentation, Driver based planning, New product planning, Demand Sensing. Good knowledge in Supply algorithms Heuristic, Optimizer. Very good understanding of ECC Master data and Transaction data from planning standpoint along with writing specifications for CPI tasks. Basic understanding of SAP PP or SD.

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture's clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualifications Who we are looking for? 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Delhi, Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Qualification Who are we looking for? Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage one's hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. Mandatory Technical Skills: • Strong statistical and machine learning intuition to address new and unique challenges. • Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications. • Strong proficiency in Python with OOP principles - ( 4 years of experience) • Experience developing APIs using Flask or Fast API frameworks ( 2 years of experience) • Integration knowledge with front-end applications ( 1 year of experience) • Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - ( 3 years of experience) • Familiarity with task management tools (e.g., Jira, Azure DevOps) - ( 2 years of experience) • Proficiency in databases, including SQL, NoSQL and vector databases ( 2 + years of experience) • Working knowledge of ML pipelines and CI/CD. • Experience with at least one of the cloud platforms (Azure, AWS, GCP) - ( 2 + years of experience) Core Excellence Areas (CEA): Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying): NLP Generative AI (NLP) Computer Vision Time Series Forecasting Recommendation Systems and Optimization Roles & Responsibilities: • Advanced AI/ML/Gen AI Implementation: o Leverage advanced AI and machine learning techniques to address complex business challenges. o Design, develop, and deliver innovative data science solutions. • Architectural Design: o Develop end-to-end generative AI solutions. o Build scalable architectures for AI/ML models and applications. • Team Leadership: o Lead and mentor a team of data scientists, fostering professional growth and technical excellence. o Provide strategic and technical guidance to ensure the team delivers high-quality projects. • Cross-functional Collaboration: o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions. • Client Engagement : Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships. • Innovation: Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology. Nice to have Skills: • Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing. • Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau) • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). • Experience with cloud platforms and MLOps practices. • Project management skills to lead initiatives effectively. • Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases. Experience & Educational Qualifications: • Minimum of 5+ years of experience solving complex machine learning problems. • At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas. • Minimum of 1 year leading and managing ML projects end-to-end. • Bachelors degree in computer science, Data Science, or related field (Master’s/PG AI/ML/DS preferred).

Strong proficiency in Python and/or R for data analysis and modeling. Advanced SQL skills for data querying and transformation. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistics, hypothesis testing, regression analysis, and data mining. Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Hadoop) is a plus. Excellent problem-solving skills and attention to detail.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. 2-5 years of experience in SOC Verification. Hands on experience in SOC level test bench and test plan development. Good knowledge of UVM, System Verilog, PSS Knowledge of Amba Protocols such as CHI, ACE. Hands on experience in PCIe, USB4, DDR4/5 Experience in bare metal post silicon Good Communication. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. 3+ years of experience in Design Verification. Hands on experience in SOC level test bench and test plan development. Good knowledge of UVM, System Verilog, PSS Knowledge of Amba Protocols such as CHI, ACE. Hands on experience in PCIe, USB4, DDR4/5 Experience in bare metal post silicon Good Communication. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Join the leader in entertainment innovation and help us design the future At Dolby, science meets art, and high tech means more than computer code As a member of the Dolby team, youll see and hear the results of your work everywhere, from movie theaters to smartphones We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide To do that, we need the absolute best talent, This is an opportunity to play a key role in Dolby's new R&D Center in Bangalore as a Research Lead in our Advanced Technology Group "ATG", the research and technology arm of Dolby Labs With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research, What Youll Do As a Research Lead within Dolby ATG research, you will focus on three key areas of expertise: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI based multimodal image, audio, and speech technologies, With an in-depth understanding of the latest AI technologies and a good understanding of audio/video technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies including video and audio enhancement, analysis, classification, and separation You will create technologies for the next generation of Dolbys offerings, Managing, nurturing, and grooming top research talent: You will lead and mentor a group of AI researchers working in the application of AI to multimodal analysis, processing, playback, and enhancement technologies You will work with your team as a coach and mentor You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment, Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere, Technology strategy and direction setting: You will define and lead research initiatives that leverage cross-media intelligence and analytics, invent multimodal machine learning algorithms, and utilize a deep understanding of multimodal perception to develop the next generation of multimedia technologies, Jointly with Dolbys world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolbys cloud and licensing business, You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads Work jointly with upper management, lead resource and work allocation, You will also work with Dolbys Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide, Education And Desired Experience D You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures Knowledge of NLP and/or multi-modal architectures is highly desired You have a good understanding of Diffusion, autoregressive, or other generative models, Self-supervised, contrastive learning, auto-encoders, Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc Multimodal architectures and algorithms, You have a track record of successfully applying AI technologies to multimodal problems including the combination of audio and video technologies, You have deep knowledge of GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms, Strong track of inventing, developing and productizing novel AI based technologies in an industrial research environment, Strong publication record, with publications in major machine learning conferences (e-g NeurIPS, ICLR, ICML, etc ), Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis, Experience with audio and video processing is a plus, Highly skilled in C/C++, Python, TensorFlow or PyTorch, Experience in managing, guiding and mentoring younger researchers, Team-oriented work ethic and interest to work in cross-continental teams, Excellent communication, collaboration, and presentation skills in English, All official communication regarding employment opportunities at Dolby will come from an official dolby email address We will never request payment as part of the hiring process If you receive a suspicious message, please verify its authenticity before responding

Requirements & Qualifications: Bachelors or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline. Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning. 3-6 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare. Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning. Hands-on experience developing and deploying machine learning models in real-world applications. Strong understanding of deep learning techniques, especially in the domains of computer vision or ML is good to have. Familiarity with PySpark and Databricks is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.Role & responsibilities

please attach your upated resume if interested on the below role Job Title: Associate / Data Analyst / Sr. Data Analyst Function: Data & Analytics Location: Gurgoan DLF Cyber Hub Experience Required: 3to5 years for Sr. Data Analyst About the Role We are seeking highly motivated individuals for the position of Associate Data Analyst / Data Analyst / Sr. Data Analyst to join our global Data & Analytics team. You will work on high-impact projects, collaborating with cross-functional departments like Marketing, Merchandising, Technology, and Business Units to deliver analytical solutions that drive business performance. This is an excellent opportunity to work in a fast-paced, data-driven environment and make a measurable impact through insights and automation. Key Responsibilities Data & Insights Clean, process, and analyze large datasets to ensure data quality and consistency Identify trends and patterns to provide actionable business insights Create business requirement documents, use cases, user stories, and test cases for analytics projects Design and build impactful dashboards and data visualizations using BI tools Provide ad-hoc data analysis and reports for leadership Operational Excellence Improve data quality through automation and validation tools Develop user-centric dashboards and analytical solutions Benchmark industry practices to create business performance improvement strategies Stakeholder Management Collaborate with data engineers, consultants, and cross-functional teams throughout the analytics lifecycle Communicate insights and complex data concepts to non-technical stakeholders Prepare and maintain comprehensive documentation of analytics solutions Share key learnings across teams to enhance overall data maturity Desired Candidate Profile Education Bachelors Degree in Computer Science, Information Management, Statistics, or a related technical field Technical Skills Strong knowledge of SQL, Python, PySpark Experience with data visualization tools like Power BI, Tableau, Alteryx Understanding of statistical modeling, time series analysis Experience with relational (MySQL, MS SQL) and non-relational (MongoDB, DynamoDB) databases Familiarity with cloud platforms (Azure, AWS, GCP) for analytics Soft Skills Strong analytical and problem-solving skills Excellent communication and stakeholder management Agile and innovative mindset Focus on delivery excellence