9 Hierarchical Clustering Jobs

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in leading projects within the Analytics Continuum by conceptualizing and building machine learning, predictive modeling, simulations, and optimization solutions. Your focus will be on addressing business questions with recommended actions that have a significant impact on the business, allowing for scalability across markets. **Key Responsibilities:** - Conceptualize and build predictive modeling, simulations, and optimization solutions to address business questions or use cases - Apply machine learning and AI algorithms to analytics to develop inferential and predictive models for scalable solutions - Develop end-to-end business solutions from data extraction to statistical modeling, and present findings in an easily interpretable manner - Conduct model validations, continuous improvement, and deployment of models using Airflow and Docker on Google Cloud Platforms - Manage Pricing and Promotion, Marketing Mix projects from scoping to delivery - Study large datasets to identify trends and patterns, mine data using technologies like BigQuery and SQL - Create visualizations using tools like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborate closely with business partners across different geographies **Qualifications Required:** - BE/BTECH in Computer Science or Information Technology, MBA or PGDM in Business Analytics/Data Science, or related fields - Additional certifications or courses in Data Science - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding - Experience with GitHub, Airflow, and visualization frameworks - Strong understanding of Cloud Frameworks like Google Cloud, Snowflake, and services like Kubernetes - Experience in a client-facing role, working in a dynamic environment **Additional Company Details:** Colgate-Palmolive is committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. The company values developing talent with a true sense of belonging and ensuring that every individual can contribute meaningfully to the business. Colgate-Palmolive is an Equal Opportunity Employer offering reasonable accommodation during the application process for persons with disabilities.,

As a hands-on engineer, you will be responsible for developing new features and fixing bugs for an internal machine learning model that identifies errors in vehicle telematics. You will work in an Agile scrum team, focusing on different modules or subsystems of the test framework. **Key Responsibilities:** - Utilize expert knowledge in Python and popular machine learning libraries like TensorFlow, Keras, and scikit-learn. - Apply clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points. - Demonstrate expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition, natural language processing, and recommendation systems. - Proficiently work with databases, both relational and non-relational like MySQL, including designing database schemas and optimizing queries for efficient data retrieval. - Possess strong knowledge in Object-Oriented Analysis and Design, Multi-threading, Multi-process handling, and Memory management. - Understand model evaluation metrics and techniques. - Deploy machine learning models to production environments. - Collaborate effectively in an Agile scrum team using version control systems like Git. **Qualifications Required:** - Expert knowledge in Python and machine learning libraries like TensorFlow, Keras, and scikit-learn. - Proficient in clustering and classification algorithms. - Experience with databases, relational and non-relational, including schema design and query optimization. - Strong understanding of Object-Oriented Analysis and Design, Multi-threading, Multi-process handling, and Memory management. - Familiarity with model evaluation metrics and techniques. - Experience deploying machine learning models to production. - Proficiency in Agile scrum methodologies and version control systems.,

As an Advanced Analytics Senior Manager at our company, you will play a crucial role in setting the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market, and ensuring an integrated response to people-based marketing objectives. Your responsibilities will include: - Developing, implementing, and maintaining advanced analytical models using machine learning algorithms and GenAI applications. - Utilizing various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. - Collaborating with cross-functional teams to identify business needs and deliver data-driven solutions. - Creating visually compelling dashboards and reports to present findings to stakeholders. - Continuously evaluating and improving existing analytics methodologies and models to enhance accuracy and performance. - Staying abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. - Mentoring junior team members and contributing to knowledge sharing within the organization. Basic qualifications required for this role include: - A Bachelors or Masters degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. - 10+ years of experience in advanced analytics, data science, machine learning, Generative AI, or a related field. - Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies. - Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI. - Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. - Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. - Strong analytical and problem-solving skills, with an inquisitive mindset. Desired skills for the role include proficiency in various advanced analytics techniques such as: - Descriptive Analytics: Statistical analysis, data visualization. - Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling. - Prescriptive Analytics: Optimization, simulation modeling. - Text Analytics: Natural Language Processing (NLP), sentiment analysis. Additionally, extensive knowledge of machine learning techniques is required, including: - 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 is a plus. Proficiency in data visualization tools such as Tableau or Power BI, strong skills in data management, structuring, and harmonization to support analytical needs are also desired for this role.,

As a Data Scientist at mPokket, your role involves working with the data science team, planning projects, and building analytics models. You should possess a strong problem-solving ability and a knack for statistical analysis. Your main objective will be to align data products with business goals to enhance products and business decisions through effective data utilization. **Key Responsibilities:** - Overseeing the data scientists" team and data specialists. - Teaching, leading, and counseling colleagues on new techniques or solutions. - Collaborating with data and software engineers for deploying sciences and technologies across the company's ecosystem. - Conceiving, planning, and prioritizing data projects. - Building analytic systems and predictive models, while experimenting with new techniques. - Ensuring data projects align with organizational goals. **Qualifications Required:** - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or related technical field. - 2+ years of experience in solving analytical problems using quantitative approaches. - Proficiency in communicating quantitative analysis results. - Knowledge of relational databases and SQL. - Development experience in any scripting language (e.g., PHP, Python, Perl). - Familiarity with statistics (e.g., hypothesis testing, regressions). - Experience manipulating data sets through statistical software (e.g., R, SAS) or other methods. **Technical Skills - Must Have:** - Programming: Python (Preferred) / R. - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Random Forest, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS), Neural Networks (Deep learning), Naive Bayes, Excel, SQL. - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm. - Cloud: Understanding of Azure / AWS offerings, setting up an ML pipeline in the cloud. **Good To Have:** - Visualization: Tableau / Power BI / Looker / QlikView. - Data Management: HDFS, Spark, Advanced Excel. - Agile Tools: Azure DevOps, JIRA, Pyspark, Big Data / Hive Database. - IDE: PyCharm. Please note that this job posting was by Debapti Roy from mPokket.,

Role Overview: You will be part of the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS team at Colgate Palmolive, where you will work on impactful business cases addressing key questions and providing actionable insights. As a Data Scientist, you will lead projects within the Analytics Continuum, developing machine learning, predictive modeling, simulations, and optimization solutions with clear financial objectives and measurable value for the company. Your role will involve working on various projects related to Revenue Growth Management, Price Elasticity, Promotion Analytics, and Marketing Mix Modeling. Additionally, you will independently manage relationships with business stakeholders to drive projects forward. Key Responsibilities: - Conceptualize and build predictive modeling, simulations, and optimization solutions to tackle business questions and use cases effectively. - Apply machine learning and artificial intelligence algorithms to develop inferential and predictive models for scalable solutions across the business. - Develop end-to-end business solutions, including data extraction, preparation, mining, statistical modeling, and creating business presentations. - Validate models and continuously improve algorithms, capabilities, or solutions. - Deploy models using Airflow and Docker on Google Cloud Platforms. - Take ownership of Pricing and Promotion, Marketing Mix projects from initiation to delivery. - Analyze large datasets to identify trends and patterns using technologies like BigQuery and SQL. - Present insights in a clear and understandable manner to business teams. - Create visualizations using tools like Looker, PyDash, Flask, PlotLy, or streamlit with large datasets and model outputs. - Collaborate closely with business partners across different geographies. Qualifications Required: - BE/BTECH in Computer Science or Information Technology (preferred), MBA or PGDM in Business Analytics/Data Science, additional Data Science certifications or courses, MSC/MSTAT in Economics or Statistics. - Minimum 5 years of experience in building statistical models and deriving insights. - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, etc. - Proficiency in Python and SQL coding languages. - Familiarity with GitHub and Airflow for coding and model deployments. - Understanding of visualization frameworks like PyDash, Flask, PlotLy. - Strong knowledge of Google Cloud, Snowflake, Kubernetes, Cloud Build, Cloud Run. - Experience in client-facing roles supporting multi-functional teams in a dynamic environment. Additional Company Details: Colgate-Palmolive is a global consumer products company operating in over 200 countries, specializing in various categories such as Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. The company is dedicated to reimagining a healthier future for people, pets, and the planet, guided by core values of Caring, Inclusive, and Courageous. Colgate-Palmolive fosters a culture that inspires its people to achieve common goals and build a brighter, healthier future for all. Please note that our commitment to inclusion ensures that we value diverse backgrounds and perspectives to better serve consumers worldwide and create an inclusive environment where everyone feels a sense of belonging. We are committed to treating each individual with respect and empowering them to contribute meaningfully to our business. Equal Opportunity Employer.,

As a Data Scientist at Colgate-Palmolive, you will be a key part of the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical, working on high-impact business cases to address critical questions with actionable insights and scalable solutions. Your role will involve leading projects within the Analytics Continuum, utilizing machine learning, predictive modeling, simulations, and optimization techniques to deliver measurable value for the company. **Key Responsibilities:** - Conceptualize and develop predictive modeling, simulations, and optimization solutions to tackle business challenges - Apply machine learning and artificial intelligence algorithms to create inferential and predictive models for scalable deployment - Lead end-to-end business solutions, including data extraction, preparation, mining, statistical modeling, and presentation of insights - Validate models and continuously enhance algorithms for improved performance - Deploy models using Airflow and Docker on Google Cloud Platforms - Take ownership of Pricing and Promotion, Marketing Mix projects from inception to delivery - Analyze large datasets to identify trends and patterns using technologies like BigQuery and SQL - Present insights in a clear and actionable manner to business teams - Create visualizations using tools like Looker, PyDash, Flask, PlotLy, and streamlit with large datasets **Qualifications Required:** - BE/BTECH in Computer Science or Information Technology, MBA or PGDM in Business Analytics/Data Science, MSC/MSTAT in Economics or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for statistical modeling - Hands-on experience with coding languages and tools like GitHub, Airflow, and visualization frameworks - Strong understanding of Cloud Frameworks like Google Cloud, Snowflake, and services such as Kubernetes, Cloud Build, Cloud Run - Experience in client-facing roles and collaborating with cross-functional teams **Additional Details:** Colgate-Palmolive is committed to fostering an inclusive environment where diversity is celebrated, and every individual is valued for their unique contributions. The company is dedicated to empowering its employees to be their authentic selves and ensuring a culture of respect and belonging. If you have a disability and require accommodation during the application process, please complete the request form provided. Colgate-Palmolive is an Equal Opportunity Employer. (Note: Additional details about the company's commitment to inclusion and equal opportunity have been provided in the original job description.),

Role Overview: As an Artificial Intelligence Consultant at Capgemini Invent, you will be responsible for implementing AI-based solutions within the Intelligent Industry vertical. Your role will involve designing and developing ML/NLP models, collaborating with key stakeholders, and executing data science projects independently to deliver business outcomes. You will also be involved in ML asset creation and providing training to fellow data science professionals. Key Responsibilities: - Implement Artificial Intelligence solutions across various disciplines - Design and develop ML/NLP models - Work closely with the Product Owner, Systems Architect, and other stakeholders - Execute data science projects independently - Collaborate on ML asset creation and provide training to data science professionals Qualifications Required: - Experience in predictive and prescriptive modeling using Statistical and Machine Learning algorithms - Familiarity with programming languages such as Python and ML/DL frameworks like SciKitLearn, TensorFlow, and PyTorch - Knowledge of unsupervised learning techniques, NLP, and model deployment - Experience with open-source OCR engines, speech recognition, computer vision, and sentiment analysis is a plus Additional Details: Capgemini is a global business and technology transformation partner with a diverse team of over 340,000 members in more than 50 countries. The company is focused on accelerating the transition to a digital and sustainable world, leveraging AI, generative AI, cloud, and data capabilities to address a wide range of business needs. With a strong heritage and deep industry expertise, Capgemini is trusted by clients to deliver end-to-end services and solutions.,

Role Overview: At o9 Solutions, you will be part of a mission to be the Most Valuable Platform (MVP) for enterprises by integrating global enterprises" planning capabilities through the AI-driven platform, the o9 Digital Brain. Your contribution will help businesses capture significant value leakage, reduce waste, and drive better outcomes for the planet. Join our team of bright and committed individuals to make a real difference for companies and the environment. Key Responsibilities: - Apply a variety of machine learning techniques such as clustering, regression, ensemble learning, neural nets, time series, and optimizations to leverage their real-world advantages and drawbacks. - Develop and optimize models for demand sensing/forecasting, optimization, anomaly detection, simulation, stochastic models, and market intelligence. - Utilize the latest advancements in AI/ML to solve business problems effectively. - Analyze complex problems by synthesizing information, evaluating alternate methods, and articulating results with relevant assumptions and reasons. - Implement common business metrics like Forecast Accuracy, Bias, MAPE, and generate new ones as required. - Develop or optimize modules to call web services for real-time integration with external systems. - Collaborate with Clients, Project Management, Solution Architects, Consultants, and Data Engineers to ensure successful delivery of o9 projects. Qualifications Required: - Experience: You should have 4+ years of experience in time series forecasting at scale using heuristic-based hierarchical best-fit models and algorithms like exponential smoothing, ARIMA, prophet, and custom parameter tuning. - Experience in applied analytical methods in the field of Supply Chain and planning, including demand planning, supply planning, market intelligence, and optimal assortments/pricing/inventory. - Educational Background: A Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field is required. - Languages: Proficiency in Python and/or R for Data Science is essential. - Skills: Deep knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing are necessary. - Characteristics: Independent thinking, strong presentation, and communication skills are valued. Additional Company Details: o9 Solutions is a rapidly growing technology company that aims to digitally transform planning and decision-making for enterprises and the planet. The culture at o9 is high-energy, driving the team to aim 10x in everything they do. The o9 Digital Brain, our premier AI-powered, cloud-native platform, is leading the digital transformations of major global enterprises like Google, Walmart, ABInBev, and Starbucks. Headquartered in Dallas, o9 Solutions has offices in various cities worldwide including Amsterdam, London, Bengaluru, Tokyo, Sydney, and more. (Note: The job description does not specify any details about the company beyond what is mentioned above.),

As a Data Scientist, your role involves leveraging structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. You will be responsible for developing and delivering impactful analytical tools and solutions by leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. Key Responsibilities: - Design and apply advanced predictive and machine learning models including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. - Utilize generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness. - Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC. - Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies. - Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention. - Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes. - Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. Qualifications Required: - Strong proficiency in statistical modeling, machine learning, and data science techniques. - Experience with tools and technologies such as Python, R, SQL, and data visualization tools. - Excellent communication, leadership, and team-building skills to collaborate cross-functionally with technical and non-technical stakeholders. (Note: No additional details of the company were provided in the job description.),

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

About ExcelR: ExcelR is a leading edtech company founded by distinguished alumni of IIM and ISB, dedicated to transforming careers through world-class upskilling. Recognized twice with the Deloitte Fast 50 Award, ExcelR is one of Indias fastest-growing tech companies. With an employee size of 450+, we have a strong PAN India and USA presence. With a thriving community of 300,000+ learners, ExcelR delivers impactful learning experiences across the globe. We proudly collaborate with premier institutes like IIT Madras, IIT Jammu, IIT Roorkee, and BITS Pilani, offering cutting-edge programs. Job Title: Data science Trainer Job Description: We are looking for a seasoned professional with in-depth expertise as a Data scientist. The ideal candidate should have a proven track record of hands-on experience with related field technologies, including managing complex projects, mentoring teams, and driving operational excellence in the field. Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets Key Responsibilities: Develop, deliver, and continuously enhance training content and educational programs. Mentor and train junior in-house trainers, ensuring high-quality instruction across teams. Supervise the planning, execution, and evaluation of internships, assignments, and training programs. Innovate and maintain cutting-edge educational materials and content. Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design If youre an innovative, highly skilled professional with a passion for both technology and education, wed love to hear from you! Conditions:  Batch Management: Handle 3 batches consecutively, with assignments based on business requirements. This could include weekday/weekend and classroom batches.  Demos & Webinars: Conducting demo sessions and webinars.  Doubts Clarification Sessions: Organizing sessions to address and clarify students' doubts.  Course Material Preparation: Develop various teaching materials including presentations, assignments, projects, quizzes, and other relevant content.  Project Mentoring: Offer guidance and mentor-ship for student projects.  Placement Preparation: Assist students in preparing for placements, including conducting mock interviews.  Customer Query Handling: Addressing queries from potential customers.  Additional Responsibilities: Need to undertake other tasks as per the business requirement.

Capgemini is Hiring on Below Requirment. Job Title: Machine Learning Engineer Location:Bangalore Experience:6-9 years Qualifications and Skills: Technical Expertise: Solid hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face building deep learning & machine learning models. Proficient in fine-tuning LLMs (Large Language Models) using LoRA, QLoRA, and PEFT techniques to optimize resource efficiency. Strong knowledge of Graph Databases (e.g., Neo4j, TigerGraph) and their integration with machine learning systems. Experience working with Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS or ChromaDB). In-depth understanding of neural network architectures, including Transformers, GANs, and Diffusion Models. Solid expertise in NLP, retrieval systems, and multimodal AI integration (text, images, audio). Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn). Experience with deploying machine learning models on cloud platforms like AWS, GCP, or Azure. Soft Skills: Strong analytical and problem-solving abilities to tackle complex AI challenges. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to mentor junior developers and collaborate effectively within a cross-functional team. Self-driven with the ability to work independently on projects and tasks, while aligning with team goals. Education and Experience: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields. 2-5 years of experience in machine learning, generative AI, NLP, or graph-based AI solutions. Preferred Skills (Nice-to-Have): Familiarity with multimodal AI techniques (combining text, images, and other data types). Knowledge of MLOps practices, including tools for continuous deployment and monitoring of AI models. Published research or open-source contributions in generative AI or graph-based AI. Awareness of ethical AI principles and data privacy regulations.  

You will be joining ERM as a Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability, health, and safety domains. Your role will involve guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. ERM combines deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. The Digital Services offered by ERM span the full information management lifecycle, from portfolio assessment and strategy to technology evaluation, design, testing, and implementation of enterprise-scale systems and cutting-edge technologies. You will work in a collaborative, innovation-driven environment that emphasizes technical excellence, scalability, and cross-functional teamwork to deliver solutions addressing complex business challenges. - Lead the design, development, and deployment of AI/ML solutions, accelerators, and frameworks focusing on sustainability, ESG, and workplace safety. - Hands-on experience in AI Agent development using Python, LangGraph, LangChain, and Model Context Protocol. - Architect LLM- and BERT-based applications ensuring scalability, robustness, and security in enterprise environments. - Act as a trusted advisor, engage with senior stakeholders, shape AI/ML strategy, and deliver impactful solutions. - Manage end-to-end AI/ML lifecycle from solution scoping and data strategy to model development, MLOps, and production deployment. - Mentor and guide junior AI/ML professionals, fostering capability development within the team. - Collaborate with management consulting teams, domain experts, and technology architects to ensure business alignment and technical excellence. - Drive innovation initiatives, identifying opportunities to apply Generative AI, Responsible AI, and sustainability-focused analytics. - Contribute to thought leadership through publications, internal assets, and client workshops. - Ensure adherence to data governance, ethics, and responsible AI principles in all solution deliveries. - Education: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, Engineering, or related fields. PhD is a plus. - Experience: 6-8 years of AI/ML project delivery, including at least 2-3 years in leading teams or architecting solutions. - Proven experience in consulting or client-facing environments with a track record of delivering AI/ML strategy and execution for enterprise clients. - Strong executive-level communication and presentation skills with the ability to influence CxO stakeholders. - Demonstrated expertise in solution architecture, MLOps, and scaling AI/ML solutions in production. - Deep understanding of sustainability, ESG frameworks, or health & safety data ecosystems is strongly preferred. - Excellent interpersonal, leadership, and team management skills. - Strong business acumen with the ability to bridge strategy, technology, and client needs. Preferred technical Skills & Tools: - AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face Transformers (BERT, GPT, LLaMA, etc.). - Generative AI/LLM Engineering: Fine-tuning, prompt orchestration, RAG, embeddings, vector databases (FAISS, Pinecone, Azure Cognitive Search). - Microsoft Ecosystem: Azure AI, Azure ML, Azure OpenAI Service, Microsoft Fabric, Power BI, Azure Synapse. - MLOps & Cloud Deployment: MLflow, Kubeflow, Docker, Kubernetes, GitHub Actions, Azure DevOps. - Data & Analytics: Python, R, SQL, Spark, Databricks. - Knowledge of Responsible AI principles, model governance, bias/fairness testing. - Familiarity with ESG reporting standards (GRI, SASB, ESRS) and safety analytics is an advantage. Thank you for considering ERM as your potential employer.,

As a motivated and highly skilled Data Scientist joining the Flight Safety team, your role will be crucial in utilizing advanced analytics and machine learning techniques to drive safety-related decisions and enhance operational processes. You will primarily focus on analyzing time-series and multivariate data to detect anomalies, identify patterns, and create predictive models that contribute to improving flight safety and minimizing risks. - Conduct exploratory data analysis to reveal insights from complex datasets - Apply advanced anomaly detection techniques to spot irregularities and potential safety risks - Develop machine learning and deep learning models like ANN, RNN, and CNN for predictive safety analytics - Support data-driven decision-making within the field of flight safety using big data analytics tools and AI/ML frameworks - Design custom algorithms tailored to meet specific domain requirements with precision and reliability - Write efficient, maintainable code in Python and MATLAB for data processing, modeling, and algorithm deployment - Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives To qualify for this role, you should: - Hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field - Have certification in Data Science - Possess a minimum of 6 years of practical experience in data science, machine learning, or analytics roles - Have a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics - Demonstrate proficiency in data analysis, exploratory data analysis, anomaly detection (time-series & multivariate data), machine learning, deep learning, big data analytics, and AI-driven risk forecasting - Showcase strong programming skills in Python and MATLAB - Exhibit expertise in custom algorithm design, data collection, preprocessing, and integration By joining the team, you will have the opportunity to contribute to cutting-edge data science projects in the aviation safety sector, work in a collaborative and innovation-oriented environment, and be part of a mission-critical team dedicated to predictive safety and operational excellence. (Note: The additional details of the company were not present in the provided job description),

As a Data Scientist at our company, your role will involve the following key responsibilities: - Business & Strategy Alignment - Proactively engage with business stakeholders, product managers, and domain experts to deeply understand key organizational challenges and strategic goals. - Formulate and scope data science initiatives, defining clear objectives, success metrics, and a technical roadmap that directly addresses identified business requirements. - End-to-End Model Development & Deployment - Design, prototype, build, and validate machine learning and statistical models from scratch, without reliance on pre-packaged solutions. - Implement and manage MLOps pipelines within Azure Machine Learning to ensure reproducible model training, versioning, testing, and continuous deployment into live operational environments. - Collaborate with DevOps and engineering teams to ensure algorithms run efficiently and scale reliably within the cloud environment. - Data Engineering & Feature Management - Execute complex data ingestion, exploration, and feature engineering tasks, applying rigorous statistical methods and domain knowledge to raw and disparate datasets. - Ensure data integrity throughout the modeling lifecycle, performing extensive Exploratory Data Analysis (EDA) and cleaning to prepare high-quality inputs. - Advanced AI & Innovation (Preferred/Plus) - Explore, experiment with, and deploy large language models (LLMs) and other Gen AI techniques to create new products or optimize existing processes. - Investigate and prototype intelligent software agents capable of autonomous decision-making, planning, and tool use, moving beyond simple predictive models. - Code Quality & Collaboration - Write clean, well-documented, and efficient Python code, adhering to software engineering best practices, including unit testing and code reviews. - Mentor junior team members and contribute to the growth of the team's overall ML/AI knowledge base. Required Qualifications: - Education: Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field. - Programming Mastery: 5+ years of professional experience leveraging Python for data science, including deep expertise in the PyData stack (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Cloud ML Platforms: Proven, hands-on experience building and managing ML models and MLOps workflows specifically using Azure Machine Learning services. - Statistical Rigor: Strong background in statistical modeling, experimental design (A/B testing), and model validation techniques. - Data Skills: Expert proficiency in SQL and experience working with large-scale, high-velocity data, including ETL/ELT processes and data visualization. Preferred Qualifications (A Significant Plus): - Generative AI Experience: Practical experience fine-tuning, RAG-ifying, or deploying modern Large Language Models (LLMs). - Agent Development: Knowledge of agentic frameworks and experience designing multi-step, tool-using autonomous AI workflows. - Experience with other cloud platforms (AWS Sagemaker, GCP Vertex AI) is beneficial. - Demonstrated ability to write production-level, highly optimized code for critical systems.,

As a Data Scientist in our company, you will have the following responsibilities: - Designing, developing, and deploying sophisticated machine learning models to solve complex business challenges. - Building and optimizing end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Driving Generative AI initiatives, creating innovative products and solutions. - Conducting in-depth analysis of large, complex datasets to generate actionable insights and recommendations. - Working closely with cross-functional stakeholders to understand business requirements and deliver data-driven strategies. In addition to the above key responsibilities, you will also be expected to: - Write clean, efficient, and maintainable code in Python and at least one other language (e.g., C#, Go, or equivalent). - Participate in code reviews, ensuring adherence to best practices and coding standards. - Stay abreast of the latest industry trends, tools, and technologies in Data Engineering, Data Science, and Generative AI. - Document processes, models, and workflows to ensure knowledge sharing and reproducibility.,

As a Data & Machine Learning (ML) Engineer at VIWELL, you will be instrumental in enhancing VIWELL's personalization and intelligent recommendation systems. Your role will involve collaborating with various teams to deliver high-quality events, features, eligibility rules, ranking logic, and safe GPT rewrites that aim to enhance user engagement and personalization within VIWELL's ecosystem. Your efforts will directly contribute to VIWELL's mission of scaling to millions of users through intelligent, privacy-preserving, and high-performance data and ML systems. **Key Responsibilities:** - Define event schemas and data contracts in collaboration with Product and Analytics for high-quality tracking and feature availability. - Engineer and maintain data features in Databricks with robust quality checks, lineage documentation, and automated orchestration. - Design and implement eligibility rules and ranking logic for safe personalization and recommendations. - Build guardrails and validation systems like blocklists, allowlists, rewrite validators, and pseudonymization frameworks for safe GPT-assisted rewrites. - Design A/B experiments, exposure logging, and statistical frameworks to support iterative product improvements. - Integrate ML and personalization systems with backend APIs for optimized response times below 300 milliseconds. - Collaborate with cross-functional teams to ensure clarity, alignment, and seamless execution of data and ML solutions. - Stay updated on evolving AI safety principles, data quality standards, and best practices in ML engineering. - Continuously enhance feature pipelines, data freshness, ranking performance, and validation accuracy. **Qualifications & Experience:** - Bachelor's or master's degree in computer science, Engineering, Data Science, Machine Learning, or related technical field. - 5-7 years of experience in data engineering, machine learning engineering, or applied ML roles. - Hands-on experience with Python, SQL, Databricks, MLflow, and modern data engineering tooling. - Experience with dbt or similar transformation frameworks and strong understanding of data contracts and quality checks. - Proven experience in designing ML ranking systems, eligibility rules, or recommendation logic with a safety-first mindset. - Familiarity with A/B testing, statistical experimentation, and product analytics. - Exposure to privacy-by-design, pseudonymization, and security best practices in data workflows. - Ability to thrive in a fast-paced environment and manage multiple concurrent priorities. - Excellent communication, problem-solving, and stakeholder management skills. **What We Offer:** - Competitive salary package based on experience. - Opportunity to build impactful, safety-focused AI and ML systems used by millions of users. - Collaborative, innovation-driven, and mission-led work culture. - Career growth opportunities within the fast-evolving AI, wellness, and technology landscape. If you meet the criteria and are ready to contribute to a purpose-driven company, send your CV to career@viwell.com and be part of transforming well-being across the region!,

Role Overview: As a Data Scientist - II at our company in Udaipur, you will be responsible for leading and executing end-to-end machine learning projects. Your role will involve conducting in-depth research, staying updated on the latest advancements in Data Science, and translating cutting-edge ideas into real-world solutions. You will also be required to mentor junior data scientists, design and optimize ML and deep learning models, collaborate with cross-functional teams, and contribute to technical decision-making and innovation within the team. Key Responsibilities: - Lead and execute end-to-end machine learning projects, from research and experimentation to deployment in production. - Conduct in-depth research, stay updated on the latest advancements, and translate cutting-edge ideas into real-world solutions. - Read, evaluate, and implement research papers, especially in the Generative AI and deep learning domains. - Mentor and guide junior data scientists and interns through project execution and best practices. - Design, develop, and optimize ML and deep learning models to solve complex business problems. - Collaborate with cross-functional teams to transform data into insights and models into scalable products. - Contribute to technical decision-making and drive innovation within the team. Qualifications Required: - 5 to 7 years of experience in Data Science or Machine Learning roles. - Strong foundation in Statistics, Probability, and ML fundamentals. - Advanced proficiency in Python and hands-on experience with data science workflows. - Practical expertise with ML/DL libraries such as Scikit-learn, TensorFlow, Keras, and PyTorch. - Strong understanding of ML algorithmsLinear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. - Deep experience with Transformer architectures and working with Large Language Models (LLMs). - Hands-on experience with LLM application frameworks such as LangChain or LlamaIndex. - Proven ability to implement theoretical models into clean, production-ready code. - Demonstrated experience delivering high-impact, end-to-end AI/ML solutions. (Note: No additional details about the company were included in the job description provided),

As a Data Scientist at our company in Thiruvananthapuram, you will be expected to have 5 to 9 years of hands-on experience in data science projects, preferably across different domains. Your role will involve utilizing strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions. You should demonstrate a proven ability to translate complex business problems into data science use cases with practical impact. Your key responsibilities will include: - Building and validating machine learning models, including classification, regression, and survival analysis. - Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, as well as SQL for data querying and analysis. - Experience in handling both structured and unstructured datasets, with expertise in exploratory data analysis (EDA) and data cleaning. - Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders. - Familiarity with version control tools such as Git/GitHub and collaborative development workflows. - Having a deployment mindset, with an understanding of how to build data products that are usable, scalable, and maintainable. The company values individuals with a solid foundation in data science and a passion for applying their skills to real-world problems.,