286 Seaborn Jobs - Page 8

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML 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. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. 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. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

You are seeking a Full Stack Developer AI/ML with 0-1 year of experience to join an innovative team in Jodhpur. The ideal candidate should possess a solid understanding of machine learning models, backend development, and web application deployment. Your responsibilities will include designing, developing, and deploying AI/ML models for real-world applications, working with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks, and developing RESTful APIs to integrate AI models with web applications. Additionally, you will be responsible for implementing and maintaining backend services using Node.js, FastAPI, or Flask, building and enhancing frontend UIs with React.js, Vue.js, or Angular, and managing databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. Furthermore, you will optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure), work on data preprocessing, feature engineering, and model evaluation, and deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). Collaboration with cross-functional teams for AI integration into business applications is also a part of your role. The required skills and qualifications for this position include 0-1 year of experience in AI/ML and full-stack development, strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, experience with backend development using Node.js, FastAPI, Flask, or Django, knowledge of frontend frameworks like React.js, Vue.js, or Angular, familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase), understanding of machine learning workflows, model training, and deployment, experience with cloud services (AWS SageMaker, Google AI, Azure ML), knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models, basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning, familiarity with data visualization tools such as Matplotlib, Seaborn, Plotly, D3.js, strong problem-solving and analytical skills, good communication, and teamwork skills. Preferred qualifications include experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face), knowledge of MLOps, model monitoring, and retraining pipelines, understanding of Reinforcement Learning (RL) and Generative AI, familiarity with Edge AI and IoT integrations, and previous internship or project experience in AI/ML applications. As part of the benefits, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As a Python Developer specializing in Machine Learning and Artificial Intelligence with 2 to 3 years of experience, you will be responsible for developing, training, and deploying machine learning models. Your expertise in Python and associated data science libraries will be crucial in collaborating with our data science and engineering teams to create intelligent solutions that address real-world challenges. You will have the opportunity to work on AI-driven applications, including predictive modeling, natural language processing, and computer vision, based on project requirements. Your key responsibilities will include developing and maintaining machine learning models using Python, working on AI-driven applications, collaborating with cross-functional teams to translate business requirements into ML solutions, preprocessing and transforming data for training and evaluation, as well as performing model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. It will be essential for you to write modular, efficient, and testable code, document processes, models, and experiments clearly for team use and future reference, and stay updated with the latest trends and advancements in AI and machine learning. To excel in this role, you should have 2 to 3 years of hands-on experience with Python programming, a solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning), experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn, exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch, a good understanding of data structures and algorithms, and experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills are essential for this position. Preferred qualifications include a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field, experience with deploying ML models using Flask, FastAPI, or Docker, knowledge of MLOps and model lifecycle management, as well as an understanding of NLP or Computer Vision. If you are a motivated Python Developer with a passion for Machine Learning and AI, and possess the required skills and qualifications, we invite you to join our team and contribute to building innovative solutions that make a positive impact.,

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets. Your role includes ensuring data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. In addition to data collection and cleaning, you will perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Your responsibilities will also involve conducting statistical analysis to support decision-making and uncover insights. Using analytical methods, you will identify opportunities for process improvements, cost reductions, and efficiency enhancements. You will be tasked with creating and maintaining clear, actionable, and accurate reports and dashboards for technical and non-technical stakeholders. This includes designing data visualizations such as charts, graphs, and tables to effectively communicate findings to decision-makers. Experience in tools like PowerBI, Tableau, and Python libraries for data visualization is essential. Furthermore, you will collaborate with cross-functional teams to understand their data needs and provide actionable insights. Working closely with IT and database administrators, you will ensure data is accessible and well-structured. Your role will also involve preparing reports for upper management and other departments, presenting key findings and recommendations. Data integrity and security are crucial aspects of your responsibilities. You will ensure compliance with data privacy and security policies while maintaining data integrity and implementing best practices for data storage and access. To excel in this role, you should stay updated with emerging data analysis techniques, tools, and industry trends. Recommending improvements to data collection, processing, and analysis procedures to enhance operational efficiency is also expected. Qualifications: - Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. - Master's degree or relevant certifications in data analysis or business intelligence is a plus. Experience: - Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). - Proficiency with data visualization tools like Tableau, Power BI, Looker. - Strong knowledge of SQL, relational databases, and data manipulation tools like Python, R, Excel, SPSS. - Experience with big data technologies such as Hadoop and Spark is advantageous. Technical Skills: - Proficiency in SQL and data query languages. - Knowledge of statistical analysis and methodologies. - Experience with data visualization and reporting tools. - Familiarity with data cleaning and transformation techniques. - Understanding of machine learning and AI concepts is beneficial for advanced roles. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent attention to detail and ability to identify trends in complex data sets. - Good communication skills to present data insights clearly to technical and non-technical audiences. - Ability to work independently and collaboratively within a team. - Strong time management and organizational skills to prioritize tasks effectively.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

About the role: TV SD South Asia is on a mission to redefine how sales intelligence is created, consumed, and converted into impact . As we scale our Sales Operations Hub (SOH) into a next-gen center of strategic enablement, we are hiring visionary Data Insights- Enabler who go beyond analysis to engineer insight, activate strategy, and empower transformation . This is more than a data role. You will be a change agent building intelligent systems, crafting generative AI solutions, and enabling the business to see around corners using the power of data. Key Responsibilities: Data Science & AI Strategy Design and deploy machine learning models to forecast revenue, prioritize leads, and optimize pricing strategies Create AI-driven market intelligence systems to uncover white spaces and growth zones Build and automate data pipelines that enable real-time decision-making across sales units Generative AI & Prompt Engineering Develop intelligent prompts and AI workflows using LLMs (GPT, Claude, etc.) for content generation, insight extraction, and customer profiling Implement Gen AI interfaces for self-serve analytics and real-time decision support Automate proposal creation, quotation analysis, and campaign recommendations using AI Advanced Analytics & Visualization Perform high-impact statistical analyses on customer, campaign, and sales data Enrich the Power BI ecosystem with custom models, anomaly detectors, and narrative dashboards Translate data into stories and signals for CXOs, sales heads, and cross-functional teams Back-End Systems & Data Governance Build scalable, secure, and governed data systems that integrate CRM, quotation, and QRM workflows Ensure data reliability, lineage, and performance across cloud-based infrastructure Collaborate with IT and security teams to ensure compliant AI and data operations Preferred Candidate: Education & Experience Bachelor's or Masters in Data Science, AI/ML, Statistics, or Computer Science 3 to 4 years in applied data science or AI roles, ideally in a B2B, sales, or operational environment Technical Mastery Python, SQL, and data libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) Hands-on with LLMs, vector databases, and fine-tuning prompts Proficiency in cloud platforms (Azure preferred), APIs, and ETL orchestration tools Data viz using Power BI, Plotly, Seaborn or equivalent Analytical Edge Deep expertise in regression, classification, clustering, and time series forecasting Knowledge of NLP, recommendation systems, and statistical testing Strong data storytelling and executive communication Business Acumen Solid understanding of B2B sales cycles, KPIs, and lead funnel dynamics Prior experience with CRM systems (e.g., Microsoft Dynamics, Salesforce) Experience working cross-functionally with marketing, pricing, and customer success

You should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You must possess solid experience in developing and implementing generative AI models, with a deep understanding of techniques like GPT, VAE, and GANs. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is required. Strong knowledge of data structures, algorithms, and software engineering principles is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure is expected. Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is necessary. Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is preferred. Understanding of software development methodologies like Agile or Scrum is important. Excellent problem-solving skills are a must, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills are required to effectively convey complex technical concepts to a diverse audience. A proactive mindset is essential, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.,

The role of Junior Full Stack Developer with a focus on Artificial Intelligence and Data Analytics in Banglore offers a great opportunity for a recent graduate or early-career professional to contribute to web application development and data-driven insights. Working closely with senior developers and data scientists, you will help enhance products with intelligent capabilities. Your responsibilities will include developing and maintaining front-end and back-end components of web applications, building user interfaces using modern web technologies like HTML, CSS, and JavaScript (including React basics), writing efficient server-side code primarily in Python, integrating AI/Machine Learning models, performing data cleaning, analysis, and visualization, collaborating on database interactions and API development, participating in code reviews and documentation, and troubleshooting issues under guidance. To succeed in this role, you should have a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, along with a basic understanding of web development concepts, familiarity with front-end and back-end technologies, solid Python programming skills, knowledge of AI/Machine Learning concepts, experience with data analysis and visualization tools, basic SQL knowledge, Git proficiency, cloud services familiarity, strong analytical and problem-solving skills, excellent communication and teamwork abilities, and a willingness to learn and adapt in a fast-paced environment. This is a full-time position requiring your presence in the office from Monday to Friday. If you are an immediate joiner with relevant experience and expectations aligned with the offered package of 12LPA, we encourage you to apply for this exciting opportunity to grow your skills in web development, AI, and data analytics.,

You will be working as a Consultant with 4 to 7 years of experience in Bangalore/Gurgaon in a Hybrid work mode. Your primary skills should include Machine Learning, Python, and Gen AI. Additionally, proficiency in Python is preferred, and familiarity with other programming languages like R and Java would be a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is required. You should also have experience working with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures. Your responsibilities will include designing and implementing AI/ML models and data-driven solutions to address complex challenges in healthcare and life sciences. You will be analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists to build end-to-end data pipelines and analytical workflows is crucial. Client engagement through interviews, workshops, and presentations will be a part of your role, contributing to deliverables and building strong relationships. Moreover, you will be translating complex analyses into clear, actionable insights for both technical and non-technical stakeholders. Continuous learning and mentorship are essential as you need to stay current with AI/ML advancements, contribute to research and proposals, and mentor junior team members. Proficiency in data manipulation, cleaning, and analysis, as well as creating clear and insightful visualizations using tools like Matplotlib, Seaborn, or Tableau, is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions will be an added advantage.,

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets to ensure data accuracy and consistency. Your role will involve performing exploratory data analysis to identify trends, patterns, and anomalies, as well as conducting statistical analysis to support decision-making processes. You will be expected to create clear and actionable reports and dashboards for technical and non-technical stakeholders, utilizing tools such as PowerBI, Tableau, and Python libraries for data visualization. Additionally, you will work on generating descriptive, predictive, and prescriptive insights using tools like MS Copilot in PowerBI and collaborate with cross-functional teams to provide actionable insights based on data analysis. Ensuring data integrity and security will be a key aspect of your role, where you will need to comply with data privacy policies and maintain data integrity while implementing best practices for data storage and access. Continuous improvement is also essential, as you will need to stay updated with emerging data analysis techniques, tools, and industry trends to recommend improvements in data collection, processing, and analysis procedures. To qualify for this role, you should have a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications in data analysis or business intelligence would be a plus. You should also have at least 7 years of experience as a Data Analyst or in a similar analytical role, along with proficiency in SQL, data visualization tools, and data manipulation and analysis tools such as Python and R. Strong analytical and problem-solving abilities, attention to detail, excellent communication skills, and the ability to work both independently and as part of a team are essential soft skills for this role. Moreover, having knowledge of statistical analysis, machine learning, and AI concepts would be advantageous for more advanced roles. Overall, as a Data Analyst, you will play a crucial role in analyzing data, providing insights for decision-making, ensuring data integrity, and contributing to continuous improvements in data analysis processes and procedures.,

You are a Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. Your primary responsibility will be to develop, train, and deploy machine learning models using Python. You will collaborate with data science and engineering teams to create intelligent solutions that address real-world problems. Your tasks will include working on AI-driven applications such as predictive modeling, natural language processing, and computer vision based on project requirements. You will need to preprocess, clean, and transform data for training and evaluation purposes. Model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch will also be part of your role. It is essential for you to write modular, efficient, and testable code and document processes, models, and experiments clearly for team use and future reference. Staying updated with the latest trends and advancements in AI and machine learning is crucial for this position. You should possess 2 to 3 years of hands-on experience with Python programming. A solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) is necessary. Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn is required, as well as exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch. Good knowledge of data structures and algorithms, model evaluation techniques, and performance metrics is expected. Having familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving skills are essential for this role. Ideally, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field. Experience with deploying ML models using Flask, FastAPI, or Docker is preferred. Knowledge of MLOps and model lifecycle management is an advantage, and understanding of NLP or Computer Vision is a plus.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

The Consultant role requires 4 to 7 years of work experience and is based in Bangalore/Gurgaon with a Hybrid work mode. The ideal candidate should possess Machine Learning, Python, and Gen AI skills. Additionally, proficiency in Python is preferred, with knowledge of other programming languages like R and Java being a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. Familiarity with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures is a significant advantage. Candidates should have experience in developing, testing, and deploying high-quality AI models and solutions and be proficient in data manipulation, cleaning, and analysis. Ability to create clear visualizations using tools like Matplotlib, Seaborn, or Tableau is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions is beneficial. Key Responsibilities include designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences. The role involves analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists is essential to build end-to-end data pipelines and analytical workflows. Interacting with clients through interviews, workshops, and presentations to contribute to deliverables and foster strong relationships is a key aspect of the role. The candidate should be able to communicate complex analyses into actionable insights for both technical and non-technical stakeholders. Continuous learning, staying updated with AI/ML advancements, contributing to research and proposals, and mentoring junior team members are also part of the responsibilities.,

As a Data Scientist at our groundbreaking digital real estate platform in Dubai, you will play a pivotal role in transforming vast datasets into predictive models and insights that will define our competitive edge. You will have the opportunity to work on challenging problems in the PropTech space and directly influence the user experience and business strategy. Your responsibilities will include designing, training, and deploying machine learning models for the "TruValue UAE" Automated Valuation Model (AVM) to predict property values. Additionally, you will develop a personalization and recommendation engine, analyze complex datasets to identify business insights and user behavior patterns, and build predictive models for forecasting metrics such as user churn and neighborhood demand dynamics. Collaboration will be key in this role, as you will work closely with backend engineers, product managers, and business stakeholders to leverage data assets and drive personalization, market intelligence, and strategic decision-making across the platform. You will also contribute to the design and development of big data infrastructure and MLOps pipelines. To be successful in this role, you should have 3-5+ years of hands-on experience as a Data Scientist, with a proven track record of building and deploying machine learning models in a production environment. A Masters degree or PhD in a quantitative field is required, along with expert proficiency in Python and its data science ecosystem. Strong practical knowledge of various machine learning techniques, advanced SQL skills, and experience with data visualization tools are also essential. Preferred qualifications include experience in the PropTech or FinTech sectors, direct experience building Automated Valuation Models (AVMs), familiarity with cloud-based data platforms and ML services, and experience with MLOps principles and tools. Additionally, experience with time-series analysis, forecasting, and Natural Language Processing (NLP) techniques would be beneficial for this role.,

As a Data Analyst at our company based in Trivandrum, you will be responsible for analyzing large volumes of log data from NGINX server logs to identify user behavior patterns, anomalies, and security events. Your role will involve interpreting various fields such as IP addresses, geolocation data, user agents, request paths, status codes, and request times to derive meaningful insights. Collaboration with AI engineers is crucial as you will work together to propose relevant features based on log behavior and traffic patterns. Your responsibilities will include validating engineered features, conducting exploratory data analysis, and ensuring the quality and alignment of feature logic with real-world HTTP behavior and use cases. Furthermore, you will be involved in developing data visualizations to represent time-series trends, geo-distributions, and traffic behavior. Your collaboration with the frontend/dashboard team will be essential in defining and testing visual requirements and anomaly indicators for real-time dashboards. In addition to your analytical tasks, you will also be responsible for identifying and addressing gaps, inconsistencies, and errors in raw logs to ensure data quality. Creating documentation that explains observed behavioral patterns, feature assumptions, and traffic insights for knowledge sharing within the ML and security team will also be part of your role. The minimum qualifications for this position include a Bachelor's degree in Computer Science, Information Systems, Data Analytics, Cybersecurity, or a related field, along with at least 2 years of experience in data analysis or analytics roles. Proficiency in SQL, Elasticsearch queries, Python for data analysis, and experience working with web server logs or structured event data are required. Strong analytical thinking skills are essential to break down complex log behavior into patterns and outliers. It would be beneficial if you have familiarity with web security concepts, experience with log analytics platforms, an understanding of feature engineering concepts in ML pipelines, or experience working on anomaly detection or security analytics systems. This is a full-time position with benefits such as health insurance and Provident Fund, with a day shift schedule from Monday to Friday. If you possess the necessary qualifications and experience, we look forward to receiving your application.,

The position of AI & Data Intern at Novasensa in Delhi NCR is a valuable opportunity to contribute to the development of a custom AI Assistant aimed at automating experiments, analyzing lab data, and supporting decision-making in sustainability challenges. As an intern, you will work with the R&D team to shape this tool and apply your programming skills to real-world scenarios. This internship offers a chance to use Python and data skills on an AI system, learn about AI's role in clean-tech innovation, and gain mentorship from a startup team working at the intersection of sustainability, engineering, and software. Your responsibilities as an AI & Data Intern will include supporting the development and testing of internal AI tools, such as programming and automation tasks. You will write Python scripts for data processing, automate R&D tasks, and assist in building backend tools for experiment tracking and analysis. Additionally, you will be involved in data analysis and visualization, where you will analyze lab results, generate visual summaries, and track patterns and insights from recycling experiments. Furthermore, you will contribute to AI Assistant Development by helping with document parsing, semantic search, and improving the performance of the AI assistant using real lab data. The ideal candidate for this internship is a curious and motivated learner with basic to intermediate Python programming skills, an understanding of data structures and functions, familiarity with data visualization tools, and an interest in AI and sustainability. Exposure to AI tools and experience with data cleaning and automation are considered advantageous. Candidates pursuing or holding degrees in Computer Science, Data Science, AI, ML, Statistics, Mathematics, or related fields are encouraged to apply. Past interns have highlighted Novasensa as a unique opportunity to work on deep-tech projects with a real impact on sustainability. If you are passionate about using your coding skills to contribute to a cleaner planet, this internship at Novasensa is the perfect opportunity for you. To apply, send your resume along with a short note explaining why you want to intern at Novasensa and what you hope to learn and contribute to hr@novasensa.com. Early applications are preferred as they are reviewed on a rolling basis. Join Novasensa to learn, build, and make an impact with your code for a greener future.,

As a Junior Full Stack Developer with a focus on Artificial Intelligence and Data Analytics, you will be an integral part of our team based in Bangalore. You will play a key role in the development and maintenance of web applications, collaborating with senior developers and data scientists to incorporate intelligent features that enhance our products. Your responsibilities will include assisting in the creation and upkeep of both front-end and back-end components, utilizing technologies such as HTML, CSS, JavaScript, and React basics for user interfaces. You will write efficient server-side code primarily in Python and support the integration of AI/Machine Learning models into our applications. Additionally, you will conduct data cleaning, analysis, and visualization to derive valuable insights from various datasets, while also contributing to database interactions and API development. To excel in this role, you should possess a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or have equivalent practical experience. A solid understanding of web development concepts, familiarity with front-end frameworks like React.js, back-end languages such as Python or Node.js, and proficiency in Python programming are essential. Moreover, you should have knowledge of AI/Machine Learning principles, experience with data analysis libraries like Pandas and NumPy, and familiarity with data visualization tools/libraries such as Matplotlib, Seaborn, and D3.js basics. Your skills should also include a basic understanding of SQL for database querying, experience with version control systems like Git, and knowledge of cloud services such as AWS, Azure, or GCP for efficient API usage. Strong analytical and problem-solving capabilities, excellent communication skills, and a proactive attitude towards learning and growth in a dynamic environment are highly valued. This is a full-time position that requires your presence in the office from Monday to Friday. As we are looking for immediate joiners, please share your total and relevant experience along with your expected compensation during the application process. Join us in this exciting opportunity to contribute to cutting-edge technology solutions at our Bangalore location.,

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Project description Create tooling to facilitate the development and debugging of a new calibration framework for multiple camera calibration. Responsibilities Good fundamental knowledge and problem solving skill in engineering. Hands-on, self-motivated, independent, and dedicated Ability to work well in a diverse, collaborative and dynamic environment Fast debugging and triage of issues Facilitate development for new projects Skills Must have ML (Meachine Learning) OCR (Optical Character Recognition) Experience with processing huge amount of data Capability of building application Python data visualization library, Pandas, Metplotlib/Seaborn Nice to have Data analysis C++ experience

Job Summary We are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team. The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools. ________________________________________ Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems. Understand the mathematics behind machine learning algorithms to effectively implement and optimize them. Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability. Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements. Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects. ________________________________________ Required Qualifications Mathematics & Theoretical Foundations Strong foundation in Linear Algebra (e.g., matrix operations, eigenvalues, SVD). Proficiency in Probability and Statistics (e.g., Bayesian inference, hypothesis testing, distributions). Solid understanding of Calculus (e.g., gradients, partial derivatives, optimization). Knowledge of Numerical Methods and Convex Optimization. Familiarity with Information Theory, Graph Theory, or Statistical Learning Theory is a plus. Programming & Software Skills Proficient in Python (preferred), with experience in libraries such as: o NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Experience with deep learning frameworks: o TensorFlow, PyTorch, Keras, or JAX Familiarity with ML Ops tools: o MLflow, Kubeflow, Airflow, Docker, Kubernetes Experience with cloud platforms (AWS, GCP, Azure) for model deployment. Machine Learning Expertise Hands-on experience with supervised, unsupervised, and reinforcement learning. Understanding of model evaluation metrics and validation techniques. Experience with large-scale data processing (e.g., Spark, Dask) is a plus. ________________________________________ Preferred Qualifications Masters or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Publications or contributions to open-source ML projects. Experience with LLMs, transformers, or generative models. Remote (Chennai - possible to travel Chennai for meetings)

Location: Bangalore Duration: 3 months About the Role: We are looking for a passionate and motivated AI/ML Intern to join our team. In this role, you will work closely with our Data Science and Engineering teams to develop, train, and deploy machine learning models that solve real-world problems. This is a hands-on opportunity to gain experience with cutting-edge technologies—including Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG)—and contribute to impactful projects across domains. Roles and Responsibilities Key Responsibilities: Assist in collecting, cleaning, and preprocessing structured and unstructured data for ML models Build and experiment with machine learning models for classification, regression, clustering, or NLP tasks Perform exploratory data analysis and visualize insights Support the deployment and evaluation of models in a production or simulated environment Collaborate with cross-functional teams including data engineers and software developers Document experiments, results, and workflows Stay updated with the latest trends and research in AI/ML, including LLMs, Generative AI, AI Agents, and retrieval-based techniques Explore the application of LLMs (e.g., GPT, Claude, LLaMA) in areas such as summarization, question answering, and content generation Contribute to prototyping and evaluation of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain or LlamaIndex Support prompt engineering, chaining, and evaluation of agent-based systems for specific business tasks. Roles & Responsibilities Preferred Skills & Qualifications: Pursued a degree in Computer Science, Data Science, AI/ML, or related field Strong foundation in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Basic understanding of GenAI API usage concepts (e.g., OpenAI, Anthropic, Hugging Face). Familiarity with LLM frameworks such as LangChain or LlamaIndex is a plus. Understanding of foundational ML concepts including supervised/unsupervised learning, embeddings, and transfer learning. Familiarity with vector databases like FAISS, Pinecone, or ChromaDB is an advantage Familiarity with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Plotly) Knowledge of NLP or deep learning is a plus Excellent problem-solving and communication skills Eagerness to learn, experiment, and work independently as well as in collaborative teams

As a Python Developer specializing in AI and ML, you will play a crucial role in our team located in Guindy, Chennai. Your primary responsibility will be to create Python-based AI/ML models, establish scalable pipelines, and implement intelligent systems to tackle intricate real-world challenges. Your duties will include designing and executing AI/ML models in Python utilizing libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Additionally, you will fine-tune pre-trained models, write well-documented Python code, and handle large datasets efficiently using tools like Pandas, NumPy, and PySpark. Furthermore, you will be tasked with developing data pipelines, building Python-based APIs for model integration, deploying models with tools like Docker, and optimizing model efficiency using Python techniques. It is essential to stay updated on Python advancements and collaborate with various stakeholders to deliver Python-driven solutions effectively. To be successful in this role, you should hold a degree in Computer Science or related fields, demonstrate expertise in Python programming, possess knowledge of AI/ML frameworks, and exhibit familiarity with data analysis and visualization libraries. Proficiency in version control tools, deploying ML models, and strong problem-solving skills are also essential. Preferred qualifications include proficiency in Python-based Big Data tools, experience with NLP frameworks, and familiarity with MLOps tools. By joining our team, you will have the opportunity to work on impactful AI/ML projects, grow in a collaborative environment, and lead with Python in cutting-edge technologies. If you are passionate about leveraging Python for AI/ML projects, eager to collaborate with a dynamic team, and excited about shaping the future of AI, we look forward to welcoming you on board. To apply, kindly submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com. This is a full-time, permanent position with a day shift schedule, and the expected start date is 15/04/2025.,

Job Description: We are looking for an enthusiastic and detail-oriented Data Analyst (Fresher) to join our analytics team. If you are passionate about data, eager to work on real-world business problems, proficient in Python and SQL, we would love to hear from you. Responsibilities: Analyze large datasets to identify trends, patterns, and insights Write efficient SQL queries to extract and manipulate data Use Python for data cleaning, analysis, and automation (Pandas, NumPy, etc.) Create visual reports using tools or libraries (Matplotlib, Seaborn, or Excel) Collaborate with product and business teams to solve data-related problems Maintain dashboards and ensure data accuracy and consistency Required Skills: Proficiency in Python for data analysis (Pandas, NumPy, basic scripting) Strong command of SQL (joins, aggregations, subqueries) Good understanding of data structures and basic statistics Strong problem-solving skills and attention to detail Effective communication and willingness to learn Preferred (Good to Have): Exposure to BI tools like Power BI / Tableau Understanding of Excel/Google Sheets functions Internship/project experience in data analysis or related work Benefits: Flexible working hours Mentorship and structured training Opportunity to work on real business problems Friendly and collaborative team culture Certificate of completion and potential for full-time conversion (if applicable)