6 Feature Extraction Jobs nearby Idukki

As a Machine Learning Engineer at our forward-thinking technology company, you will be a key player in our AI initiatives. Your role involves designing, developing, and deploying robust and scalable ML solutions to address real-world business challenges. **Key Responsibilities:** - **Data Handling & Preparation:** - Perform data extraction, integration, preprocessing, and cleansing from various structured and unstructured sources. - Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights. - Apply vectorization techniques (e.g., TF-IDF, embeddings) where applicable for text and categorical data. - **Feature Engineering & Modeling:** - Apply feature scaling, selection, and engineering techniques to enhance model performance. - Build, train, and evaluate machine learning models for both regression and classification problems. - Tune parameters and hyperparameters including learning rate, regularization factors, and model-specific controls. - **Model Evaluation & Optimization:** - Use appropriate evaluation metrics (e.g., RMSE, F1-score, AUC) to validate model performance. - Optimize model pipelines using techniques like cross-validation, grid/random search, and early stopping. - **Deployment & Monitoring:** - Package and deploy models using APIs, containers (Docker), or scalable services (AWS/GCP/Azure). - Build ML pipelines for continuous training, testing, deployment, and performance monitoring. - Monitor live models and retrain/update based on data drift or accuracy decay. **Qualifications Required:** - **Required Qualifications:** - Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. - Strong programming skills in Python, with hands-on experience in NumPy, Pandas, and Scikit-learn. - Deep understanding of machine learning fundamentals: supervised learning, model evaluation, vectorization, parameters vs hyperparameters, and learning rate tuning. - Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost. - Proficiency in working with large datasets, data wrangling, and pipeline automation. - Familiarity with version control (Git) and CI/CD tools. - **Preferred Qualifications:** - Experience in deploying ML models using Flask/FastAPI, Docker, or Kubernetes. - Familiarity with SQL and big data tools (e.g., Spark, Kafka, Airflow). - Exposure to MLOps and model lifecycle management. - Prior experience in use cases involving computer vision, recommendation systems, or NLP. **Additional Details:** Our company values professionals who understand deep learning concepts such as Transformers, CNNs, RNNs. Experience with small language models (SLMs) and techniques like fine-tuning is a plus. Familiarity with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Weaviate is advantageous. Exposure to large language models (LLMs) and enterprise-level integrations, as well as understanding agentic frameworks (e.g., LangChain agents, ReAct) for intelligent workflow orchestration, will be beneficial.,

As a Senior Data Scientist Engineer at our company, you will play a crucial role in building and enhancing data systems to drive analytics, machine learning, and reporting. Your expertise in both data engineering and data science will be instrumental in managing large datasets, creating predictive models, and deriving valuable insights for strategic business decisions. Key Responsibilities: - Data mining and extraction of useful information from diverse data sources - Utilizing machine learning tools to select features, build and optimize classifiers - Conducting preprocessing of structured and unstructured data - Improving data collection procedures to ensure inclusion of all relevant information for developing analytic systems - Processing, cleansing, and validating data integrity for analysis purposes - Analyzing extensive datasets to identify patterns and propose solutions - Developing prediction systems and machine learning algorithms - Presenting results in a clear and actionable manner - Collaborating with Business and IT teams to address business challenges effectively Preferred Skills: - Proficient in programming languages such as R, Python, SQL, Hive, and Pig - Minimum 2 years of experience as a data scientist - Familiarity with Scala, Java, or C++ is advantageous - Strong statistical skills including knowledge of tests, distributions, and regression - Sound understanding of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests - Proficiency in multivariable Calculus and Linear Algebra - Ability to handle imperfections in data (Data Wrangling) - Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau - Excellent communication skills to convey findings to diverse audiences - Background in software engineering - Problem-solving aptitude and analytical mindset - Degree in Computer Science, Engineering, or related field preferred - Proven experience as a Data Analyst or Data Scientist What Company Offers: - Excellent career growth opportunities and exposure to multiple technologies - Fixed weekday schedule with weekends off - Family Medical Insurance - Unique leave benefits and performance-based encashment options - Long-term growth prospects - Supportive and collaborative work environment - Internal employee rewards programs and bonus opportunities - Work-life balance initiatives including flexible work timings and social activities - Company-sponsored international tours Join us in Kochi or Trivandrum for a rewarding career in Data Science with ample opportunities for professional development and personal growth.,

Job Description: As a LiDAR Engineer, you will be an integral part of our team, focusing on processing and analyzing LiDAR point cloud data using specialized software. Your role will involve data classification, filtering, and feature extraction, collaborating with survey teams and GIS specialists, ensuring data accuracy, quality control, and project compliance, as well as preparing reports, visualizations, and documentation as required. Key Responsibilities: - Process and analyse LiDAR point cloud data using specialized software. - Perform data classification, filtering, and feature extraction. - Collaborate with survey teams and GIS specialists on project deliverables. - Ensure data accuracy, quality control, and project compliance. - Prepare reports, visualizations, and documentation as required. Qualifications & Skills: - Diploma/ Bachelors degree in Geomatics, Civil Engineering. - Proven experience in LiDAR data processing (e.g., TerraScan, LAStools, Global Mapper, etc.). - Proficiency in GIS software (ArcGIS, QGIS) is a plus. - Attention to detail and ability to work independently or as part of a team. Job Description: As a LiDAR Engineer, you will be an integral part of our team, focusing on processing and analyzing LiDAR point cloud data using specialized software. Your role will involve data classification, filtering, and feature extraction, collaborating with survey teams and GIS specialists, ensuring data accuracy, quality control, and project compliance, as well as preparing reports, visualizations, and documentation as required. Key Responsibilities: - Process and analyse LiDAR point cloud data using specialized software. - Perform data classification, filtering, and feature extraction. - Collaborate with survey teams and GIS specialists on project deliverables. - Ensure data accuracy, quality control, and project compliance. - Prepare reports, visualizations, and documentation as required. Qualifications & Skills: - Diploma/ Bachelors degree in Geomatics, Civil Engineering. - Proven experience in LiDAR data processing (e.g., TerraScan, LAStools, Global Mapper, etc.). - Proficiency in GIS software (ArcGIS, QGIS) is a plus. - Attention to detail and ability to work independently or as part of a team.

Role Overview: You will be responsible for demonstrating strong problem-solving abilities and proficiency in C/C++ and OpenCV. Your role will involve working with Machine Learning and Computer Vision algorithms, along with prior experience in Python, Caffe, TensorFlow, and other computer vision libraries. Additionally, you will utilize your expertise in video analytics algorithm/system development and GPU/DSP/other Multi-core architecture programming. Your tasks will include low-level image processing, noise filtering, segmentation, feature extraction/matching techniques, and real-time vision development on Linux. Effective communication with project members and stakeholders, attention to detail, continuous learning, and project management experience will be key aspects of this role. Furthermore, you should be capable of providing team leadership. Key Responsibilities: - Demonstrating strong problem-solving abilities - Proficiency in C/C++ and OpenCV - Experience in Machine Learning and Computer Vision algorithms - Familiarity with Python, Caffe, TensorFlow, and other computer vision libraries - Previous experience in video analytics algorithm/system development - Knowledge of GPU/DSP/other Multi-core architecture programming - Understanding of low-level image processing, noise filtering, segmentation, and feature extraction/matching techniques - Experience in real-time vision development on Linux - Effective communication with project members and stakeholders - Detail-oriented approach, continuous learning mindset, and project management experience - Team leadership capabilities Qualifications Required: - B.Tech/MS/Ph.D in Software Development (Note: The additional details of the company were not provided in the job description),

You will be responsible for: - Designing, developing, debugging, and deploying predictive and deep learning, machine learning algorithms. - Diving into the technical complexity of ML algorithms, architectures, features, and bugs when needed. You should be able to recognize the root cause and identify solutions. - Identifying opportunities to drive innovation, accelerate product launches, and remove bottlenecks to deliver results. - Diving deep to identify root causes of issues and/or generate reports, as well as extracting data to identify problem patterns. Qualifications required: - Strong background in machine learning, deep learning, and predictive modeling. - Proficiency in programming languages such as Python, R, or Java. - Experience with data extraction, analysis, and visualization. Please note that the above description is based on the information provided in the Job Description.,

Role Overview: As a results-driven model developer at EY, you will utilize your expertise in constructing data models using Excel and VBA, particularly within the pharmaceutical sector. Your role will involve developing insightful models to facilitate strategic business decisions, transforming complex datasets into actionable insights while upholding industry best practices and regulatory standards. Key Responsibilities: - Utilize extensive datasets to derive valuable insights and predictive analytics - Apply statistical methods to discern trends and patterns in data to support decision-making processes - Craft sophisticated models using Excel VBA and Python to enhance data analysis and reporting efficiency - Design and implement intricate Excel spreadsheets embedding advanced formulas, macros, and automation features for seamless data manipulation and visualization - Develop tailored applications using Power Apps to enhance data interaction and foster user-friendly access to data models - Integrate Power Apps with Excel-based models to elevate user experience and data accessibility - Demonstrate deep understanding of the pharmaceutical landscape, regulatory frameworks, clinical trial methodologies, and diverse data types - Ensure precise and compliant data handling practices aligning with industry standards and regulatory mandates - Utilize SQL for data analysis and manipulation, craft complex queries for data extraction, transformation, and loading purposes - Excel in data cleansing and preparation for modeling to assure data accuracy and integrity throughout the process Qualifications Required: - Strong analytical capabilities demonstrated through leveraging extensive datasets for insights and predictive analytics - Proven track record of applying statistical methods to discern trends and patterns in data - Proficiency in crafting sophisticated models using Excel VBA and Python - Familiarity with Power Apps for developing tailored applications and enhancing data interaction - Deep understanding of the pharmaceutical landscape, regulatory frameworks, and diverse data types - Proficiency in data analysis and manipulation using SQL - Technical skills in Excel, VBA, SQL, statistical techniques, descriptive statistics, trend analysis, predictive modeling, and familiarity with various pharmaceutical data sources (Note: Additional details of the company were not present in the provided job description),

Role Overview: As a member of our team, you will be responsible for gathering requirements from multiple teams, management leaders, and domain experts to formulate business metrics. You will be required to extract, manipulate, and analyze data from large databases, simplify and automate existing complex reports, build dashboards, and other metrics monitoring tools. Additionally, you will play a crucial role in mentoring, guiding, and supporting the in-house teams for advanced features of the power platform, particularly Power BI. Key Responsibilities: - Highest level expertise in Power BI - 2-4 years of experience with data dashboards - Experience building self-serve systems - Building Dashboards and Visualizations - Data Extraction / Cleaning / Transformation Secondary - Experience building automated pipelines for data aggregation - Intermediate level of SQL is desirable - Some knowledge of other power platform tools is good to have Qualifications Required: - Good analytical skills and presentation skills - Should be ready to work as an individual contributor and as a Senior team member - Able to take as well as give directions and deliver - Open to taking up any challenges and bringing them to execution - Ability to interact with business as well as technical teams - Strong communication and client management skills Please note that the work location for this position is Jaipur, and the role requires in-person work at the office. This is a full-time, permanent position. If you are interested in joining our team, please reach out to poornima@cognitivestars.com for further details. Benefits include Provident Fund.,

Role Overview: As an OCR Engineer (GenAI Lead) at BIRLASOFT OFFICE in NOIDA, INDIA, you will be responsible for implementing OCR solutions to handle various document and image scenarios. Your role will involve utilizing OCR tools and data science methodologies to enhance the accuracy and efficiency of OCR systems within a larger scale project. Key Responsibilities: - Implement OCR on diverse unstructured documents like images and PDFs to curate high-quality data for LLM training. - Design, develop, and deploy OCR solutions customized for different document and image types using tools such as Microsoft Document Intelligence, GPT-4 Vision, and other advanced technologies. - Analyze OCR requirements and document/image characteristics to determine the best OCR strategies and algorithms. - Collaborate with cross-functional teams to integrate OCR capabilities into existing systems and workflows. - Apply expertise in data preprocessing, feature extraction, and machine learning to improve OCR accuracy, especially in challenging scenarios like low-quality images or complex layouts. Qualifications Required: - Experience in Microsoft Document Intelligence and GPT-4 Vision Models is a must. - Deep implementation experience and hands-on expertise in OCR engineering. - Strong background in data science methodologies. - Proficiency in developing and implementing OCR solutions for diverse scenarios. - Ability to collaborate effectively with software engineers, data scientists, and product managers.,

As a Quantitative Research Associate/Vice President within the Quantitative Research Group at our company, you will have the opportunity to partner with the Business to provide a comprehensive view and support activities across asset classes globally. Your role will involve critical assessments of the Firm's booking models of exotic structures, as well as the development of new models as necessary. Join our team in Mumbai and be part of transforming business practices through data science and quantitative methods. **Key Responsibilities:** - Perform large-scale analysis on proprietary datasets to solve unprecedented problems. - Identify new insights driving feature modeling for nuanced insights. - Build models end-to-end, from prototype to full-scale production. - Make real-world, commercial recommendations through effective presentations. - Utilize data visualization to communicate data insights and results. - Document and test new/existing models in collaboration with control groups. - Implement models in Python-based proprietary libraries. - Provide ongoing desk support. **Qualifications Required:** - Master's or Ph.D. in computer science, statistics, operations research, or related quantitative fields. - Strong technical skills in data manipulation, extraction, and analysis. - Fundamental understanding of statistics, optimization, and machine learning methodologies. - Experience in building models from prototype to full-scale production using ML/big data techniques. - Knowledge of developing models on cloud infrastructure. - Integration and utilization of LLM models for advanced model development. - Basic knowledge of financial instruments and pricing. - Proficiency in software design principles and development skills using C++, Python, R, Java, or Scala. - Previous practical experience in solving machine learning problems with open-source packages. - Strong communication skills (verbal and written) for presenting findings to non-technical audiences. **Additional Company Details:** Participation in KDD/Kaggle competitions or contributions to GitHub are highly desirable for this role.,

As a Product Operations Analyst for Data Extraction at Numerator, you will play a crucial role in analyzing and fixing data bugs at scale to ensure high-quality data extraction processes. Your responsibilities will include collaborating with the Product Owner and Product Manager to prioritize issues, working closely with the Engineering team to identify and resolve data bugs, and communicating effectively to ensure successful implementation. Here's an overview of what you'll be doing on a day-to-day basis: - Write SQL queries to identify data affected by bugs - Gain expertise in data extraction flows and receipt data components - Utilize internal tools to fix data bugs, monitor batch jobs, and confirm desired outcomes - Conduct data analysis to assess data quality issues and report findings to relevant stakeholders - Evaluate reported data bugs using internal tools and SQL queries, and translate them into Jira tickets - Communicate root causes of data problems to Engineers and provide desired output expectations - Perform quality checks of data fixes and tool features before release To excel in this role at Numerator, you should possess the following qualifications: Requirements: - Strong oral and written communication skills, ability to communicate effectively with engineers and stakeholders - Intermediate SQL skills for querying and analyzing data - Experience with agile or product management software, preferably JIRA - Comfort working with data in JSON format - Attention to detail and ability to identify and address bugs effectively - Familiarity with consumer, retail, or eCommerce datasets is a plus Join Numerator's fast-growing team and contribute to transforming the market research industry with cutting-edge technologies and unparalleled insights into consumer behavior. Apply your skills in data extraction and bug analysis to drive impactful solutions for Fortune 500 companies and shape the future of market intelligence.,

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for solving problems and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution that may impact model performance in real-world deployment - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize available datasets for training - Define validation strategies, pre-processing, and feature engineering for datasets - Define data augmentation pipelines - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them - Deploy models to production **Desired Candidate Profile:** - Sound understanding of ML and DL algorithms - Architecture-level understanding of CNN and RNN algorithms - Experience with NLP data models and libraries - Good understanding of entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries, etc. - Knowledge of transfer learning - Strong scripting and programming skills in Python and Streamlight - Experience with data science toolkits such as Python, NumPy, Transformers, Fast.AI, etc. - Excellent understanding of machine learning techniques and algorithms like k-NN, Naive Bayes, SVM, Decision Forests, etc. - Proficiency in using query languages - Strong applied statistics skills including distributions, statistical testing, regression, etc. - Data-oriented personality with experience in Data Wrangling and Data Exploration - Experience with Tableau and DataPrep is a plus If you are an immediate joiner with the required expertise, there is no bar on salary for the right candidate.,

Role Overview: You will be responsible for analyzing, preprocessing, and cleaning structured and unstructured datasets to support AI/ML initiatives. Additionally, you will assist in building, training, and evaluating machine learning models for predictive and prescriptive analytics. It will be your duty to interpret AI/ML model results and communicate findings through visualizations and reports. You will collaborate with cross-functional teams to identify opportunities for AI/ML applications and define project requirements. Conducting exploratory data analysis (EDA) to uncover trends, patterns, and anomalies will also be part of your role. Moreover, you will support the deployment, monitoring, and optimization of AI/ML models in production and stay updated with the latest advancements in AI/ML technologies and tools. Collaborating on the design and implementation of data pipelines and model automation workflows will also be one of your key responsibilities. Key Responsibilities: - Analyze, preprocess, and clean structured and unstructured datasets to support AI/ML initiatives. - Assist in building, training, and evaluating machine learning models for predictive and prescriptive analytics. - Interpret AI/ML model results and communicate findings through visualizations and reports. - Work with cross-functional teams to identify opportunities for AI/ML applications and define project requirements. - Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. - Support the deployment, monitoring, and optimization of AI/ML models in production. - Stay updated with the latest advancements in AI/ML technologies and tools. - Collaborate on the design and implementation of data pipelines and model automation workflows. Qualification Required: - Proficient in programming languages like Python or R for data analysis and modeling. - Strong understanding of machine learning algorithms and frameworks. - Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Seaborn). - Familiarity with big data tools like Spark or Hadoop is a plus. - Knowledge of SQL and database management for data extraction and manipulation. - Ability to work with large datasets and complex data structures. - Strong statistical and analytical skills to interpret data and validate models. - Experience in feature engineering and data transformation.,

**Job Description:** At Amgen, you will play a crucial role in identifying trends, root causes, and potential improvements in products and processes to ensure patient voices are heard and addressed accurately. As a Sr Associate Data Scientist, your responsibilities will include: - Collecting, cleaning, and managing large datasets related to product performance and patient complaints. - Ensuring data integrity, accuracy, and accessibility for further analysis. - Developing and maintaining databases and data systems for storing patient complaints and product feedback. - Analyzing data to identify patterns, trends, and correlations in patient complaints and product issues. - Using advanced statistical methods and machine learning techniques to uncover insights and root causes. - Developing analytics or predictive models to anticipate potential product issues and patient concerns. - Preparing comprehensive reports and visualizations to communicate findings to key collaborators. - Presenting insights and recommendations to cross-functional teams, including product development, quality assurance, and customer service. - Collaborating with regulatory and compliance teams to ensure adherence to healthcare standards and regulations. - Finding opportunities for product enhancements and process improvements based on data analysis. - Working with product complaint teams to implement changes and monitor their impact. - Staying updated on industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics. - Evaluating data to support product complaints. - Working with software developers and engineers to translate algorithms into commercially viable products and services. - Collaborating in technical teams for the development, deployment, and application of applied analytics. **Qualifications Required:** **Basic Qualifications:** - Masters degree and 1 to 3 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools OR - Bachelors degree and 3 to 5 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools OR - Diploma and 7 to 9 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools. **Preferred Qualifications:** - Demonstrated skill in applied analytics, descriptive statistics, feature extraction, and predictive analytics on industrial datasets. - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification. - Proficiency in analyzing time-series data for forecasting and trend analysis. - Familiarity with Data Bricks platform for data analytics. - Previous experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements. At Amgen, you can expect comprehensive Total Rewards Plans aligned with local industry standards, supporting your professional and personal growth. Join us in a career where you can make a difference and be part of a collaborative and inclusive environment dedicated to advancing science to serve patients. Apply now and be a part of our mission to improve the quality of life for people around the world.,

You will be joining Evernorth as a Machine Learning Associate Advisor. Evernorth is dedicated to enhancing health for all individuals, believing that health is the foundation for human potential and progress. As advocates for affordable, predictable, and simple healthcare solutions, Evernorth tackles challenges that others may avoid or find impossible to solve. The company's innovation hub in India aims to collaborate with top talent, expand its global presence, enhance its competitive position, and fulfill its commitments to stakeholders. Evernorth is committed to enhancing healthcare by providing world-class solutions that have a tangible impact on people's lives. In your role as a Machine Learning Associate Advisor, you will be responsible for the following: - Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks to develop transformative solutions. - Understand AI Models, Large Language Models, and AI specialized infrastructure in the context of AI trends and business challenges. - Collaborate with Product Development as a Generative Artificial Intelligence (AI) subject matter expert to design scalable, resilient, and ethical AI solutions. - Create solutions aligned with responsible AI practices. - Engage with open-source models (such as Tensorflow, PyTorch, Hugging Face Transformers), cloud solutions, internal tools, and external partners to deliver optimal solutions. - Enhance existing generative AI models for better performance, scalability, and efficiency. - Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Qualifications: - Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - Extensive experience with research in sequential modelling, generative AI, deep learning architectures, and Transformers. - Proficiency in programming languages like C/C++, Java, Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. - Strong knowledge of data structures, algorithms, and software engineering principles. - Familiarity with cloud-based platforms and services (AWS, GCP, Azure). - Excellent problem-solving skills, proactive mindset, and ability to work both independently and collaboratively. - Strong communication skills to convey complex technical concepts effectively. Experience & Education: - 8-11 years of experience as a Machine Learning Engineer / Prompt Engineer with robust programming skills. - Previous experience in the healthcare industry is advantageous. - Exposure to healthcare-specific IT systems and industry regulations like Electronic Health Record systems and HIPAA is a plus. Desired Experience: - Exposure to Gen AI and Cloud systems like AWS. Location & Hours of Work: - Full-time position, working 40 hours per week. - Expected overlap with US hours as necessary. - Primarily based in the Innovation Hub in Hyderabad, India, following a hybrid working model (3 days WFO and 2 days WAH). Evernorth is committed to fostering diversity, equity, and inclusion within the organization. As an Equal Opportunity Employer, Evernorth actively promotes staff engagement in DE&I initiatives to enhance internal practices and external collaborations with diverse client populations. Join Evernorth Health Services, a division of The Cigna Group, in creating innovative pharmacy, care, and benefit solutions that enhance health and vitality for millions of individuals. Embrace the opportunity to drive growth and improve lives with Evernorth.,

As a highly motivated and experienced data scientist, you will be leading a team of Gen-Ai Engineers involved in various processes from data extraction, cleaning, and pre-processing, to training models and deploying them to production. Your passion for artificial intelligence and staying up-to-date with the latest developments in the field will be crucial for success. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Collaborate with cross-functional teams to define problem statements and prototype solutions leveraging generative AI. - Ensure robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. - Explore and visualize data to gain insights and identify differences in data distribution that could impact model performance in real-world deployment. - Devise and oversee data-centered projects, verifying data quality, ensuring it through data cleaning, and supervising the data acquisition process if more data is needed. - Find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines. - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them. - Deploy models to production. Qualifications and Education Requirements: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field. - 3-10 years of experience in building Gen-Ai applications. Preferred Skills: - Proficiency in statistical techniques for extracting insights and making predictions from data. - Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras. - Specialization in Deep Learning (NLP) and statistical machine learning. - Strong Python skills. - Experience in developing production-grade applications. - Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone. - Understanding and experience with retrieval algorithms. - Worked on Big data platforms and technologies for processing and analyzing large volumes of data efficiently. - Familiarity with deploying applications on Ubuntu/Linux systems. - Excellent communication, negotiation, and interpersonal skills. Qualifications: - Bachelors/Masters degree in computer science, data science, mathematics, or a related field.,

As an Industrial Software Developer at AVEVA, you will be responsible for the following key tasks: - Commercial Data Intelligence: You will play a crucial role in delivering and advancing the commercial data strategy to ensure a single version of the truth for reporting, analytics, and AI/ML initiatives. This will involve contributing to data warehouse and data lake initiatives to enable advanced analytics and AI-ready datasets. - Data Engineering Pipelines: Your responsibilities will include designing and maintaining ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines) to ensure data quality, integrity, and timeliness. You will also be driving the adoption of standardized data infrastructure by replacing non-standard data sources with governed pipelines and curated datasets. - AI-Ready Data Preparation: Structuring, cleansing, and enriching data to make it suitable for machine learning models, predictive analytics, and recommendation engines will be part of your duties. Collaborating with data science teams to enable feature engineering and model deployment will also be essential. - Data Analysis: You will be required to perform deep-dive and ad-hoc analyses to generate actionable insights that address commercial challenges and opportunities. Your focus will be on improving data pipelines and usability. - Stakeholder Engagement: Collaboration with senior commercial, sales, and operations leaders is crucial to understand requirements, design analytical solutions, and ensure data outputs meet business needs effectively. - SQL & Data Modelling: Developing, optimizing, and maintaining complex SQL queries and data models to support scalable analytics and AI workflows will be part of your role. - Continuous Improvement: Identifying and implementing opportunities to enhance data workflows, streamline manual processes, and improve the reliability of commercial datasets will be a key aspect of your responsibilities. Staying current with Microsoft Fabric and cloud data engineering best practices will also be expected. In terms of qualifications, you should possess: - A Bachelor's degree in data engineering, Computer Science, Information Systems, or a related field. - 3-5 years of experience in data integration, data engineering, or commercial data management roles. - Strong SQL skills for data extraction, transformation, and validation across large datasets. - Experience with cloud-based data platforms such as Azure Synapse, Microsoft Fabric, Databricks, or similar. - Knowledge of data modeling concepts (star schema, normalization/denormalization) and ETL best practices. - Familiarity with Salesforce data structures and other commercial systems is a plus. - Ability to design AI/ML-ready datasets and support analytics teams in feature engineering. - Strong problem-solving skills with attention to detail and commitment to data quality. Besides the technical qualifications, excellent communication and collaboration skills are essential to work effectively with cross-functional stakeholders. Noteworthy information about AVEVA: AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Their solutions are utilized by enterprises worldwide to deliver essential services such as energy, infrastructure, chemicals, and minerals safely, efficiently, and sustainably. AVEVA is committed to embedding sustainability and inclusion into its operations, culture, and core business strategy. Additionally, AVEVA provides comprehensive benefits to its employees in India, including gratuity, medical and accidental insurance, attractive leave entitlement, and various support programs. They offer a hybrid working model and are committed to recruiting and retaining people with disabilities. If you think you are a suitable candidate for this position, you can start the application process by submitting your cover letter and CV through AVEVA's application portal. AVEVA values diversity and inclusivity and provides reasonable accommodations to applicants with disabilities. They are an Equal Opportunity Employer and strive to create a workplace environment where all employees are treated with dignity and respect.,

Join Aganitha and contribute to the discovery of medicines that will impact lives in Hyderabad, India. **About Aganitha:** Aganitha is co-innovating with global biopharma customers on next generation R&D by leveraging high-throughput experimentation, Computational & Data-driven modeling, and the dawn of the Open Science era. **Key Responsibilities:** - Design, implement, and optimize algorithms for biomedical image analysis using deep learning and computer vision techniques (CNNs, transformers, diffusion models, etc.). - Work on multi-modal datasets including cellular images, microscopy, MRI, CT, EEG, ECG, and histopathology slides to extract meaningful biological or clinical insights. - Develop automated image & waveform segmentation, classification, and feature extraction workflows. - Collaborate with biologists, chemists, and AI engineers to integrate imaging data with omics and molecular datasets. - Contribute to building scalable pipelines for image data preprocessing, model training, and deployment. - Validate models against experimental data and ensure reproducibility of results. - Stay current with advances in biomedical imaging, AI/ML architectures, and data integration methods. **Desired Skills / Expertise:** - Strong background in Biomedical Engineering, Computer Science, Electrical Engineering, Biophysics, Computational Biology, or related field. - PhD or Masters degree with experience in biomedical image analysis or computer vision. - Hands-on experience with Python, PyTorch (or TensorFlow), OpenCV, and scikit-image. - Experience with microscopy, histopathology, and radiology image datasets. - Knowledge of image preprocessing, segmentation, and 3D/volumetric data handling. - Familiarity with data annotation, weak supervision, or multi-modal learning is a plus. - Excellent communication and problem-solving skills. Join Aganitha to bring out your best and be limitless!,

As a Data Scientist at Affluense.ai, you will be responsible for building, validating, and optimizing core machine learning models. Your role will involve developing models for entity matching, classification, clustering, anomaly detection, and predictive scoring. Additionally, you will work on LLM-powered data extraction, enrichment, and text understanding if you have experience in this area. Collaboration with engineering teams to deploy ML models into production at scale will be a key aspect of your responsibilities. Continuous experimentation with new techniques to enhance accuracy, coverage, and inference efficiency will also be part of your role. You will tackle real-world data challenges such as noisy data, incomplete information, entity resolution, and cross-source matching. **Key Responsibilities:** - Build, validate, and optimize core machine learning models, including supervised and unsupervised algorithms. - Develop models for entity matching, classification, clustering, anomaly detection, and predictive scoring. - Work on LLM-powered data extraction, enrichment, and text understanding. - Design and maintain feature engineering pipelines across structured and unstructured datasets. - Collaborate with engineering teams to deploy ML models into production at scale. - Continuously experiment with new techniques to improve accuracy, coverage, and inference efficiency. - Work with real-world data challenges like noisy data, incomplete information, entity resolution, and cross-source matching. **Qualifications Required:** - Self starter and self motivated with deep curiosity and motivation to learn. - Strong foundation in probability, statistics, and linear algebra. - Solid experience with supervised & unsupervised ML (Regression, Classification, Clustering, Ensemble methods, etc.). - Hands-on experience in Python, Pandas, scikit-learn, and basic ML Ops. - Ability to independently build, test, and tune models end-to-end. - Experience with LLMs (OpenAI, HuggingFace, LangChain) is a strong plus, but not mandatory. - Prior experience in data-focused startups, finance, or intelligence systems is a plus. If you are interested in this exciting opportunity to work with cutting-edge AI technologies in a dynamic startup environment, you can apply using the provided form. Please note that no other mode of application will be considered.,

As a Data Scientist at EbizON, you will be responsible for analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. You will collaborate with cross-functional teams to design and implement predictive models and machine learning solutions. The ideal candidate for this role is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth. Key Responsibilities: - Data Modeling & Analysis: Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation. - Machine Learning Implementation: Build and fine-tune models leveraging LLMs, NLP techniques, ASR/TTS outputs, and structured/unstructured datasets to improve conversational understanding and recommendations. - Experimentation & Evaluation: Design experiments (A/B tests, user behavior analysis), implement evaluation metrics, and continuously iterate on models to improve performance and engagement. - Data Integration: Work with backend teams to integrate ML pipelines into production workflows, APIs, and data stores ensuring robust, scalable data-driven solutions. - Trust, Privacy & Ethics: Collaborate with engineering and compliance teams to ensure data pipelines adhere to privacy laws (PII/PHI), encryption standards, and healthcare guidelines (HIPAA/SOC2). - Collaboration with Cross-Functional Teams: Partner with product, clinical, and engineering teams to translate business requirements into data-driven strategies and actionable insights. - Monitoring & Observability: Implement monitoring, error tracking, and data quality checks for models in production to ensure reliability and fairness. - Accessibility & Fairness: Incorporate accessibility guidelines (ADA/WCAG 2.2), fairness audits, and bias mitigation techniques to ensure inclusive solutions. Required Skills & Experience: - 3 Years Experience in Data Modeling, Machine Learning & AI. - Machine Learning & AI: Hands-on experience with NLP pipelines, LLMs, embeddings, intent classification, speech analytics, or recommendation systems. - Data Engineering: Skilled in building ETL pipelines, data wrangling, feature extraction, and data visualization from large datasets (structured and unstructured). - Statistical Analysis & Experimentation: Experience in hypothesis testing, A/B experiments, causal inference, or clinical outcome analysis. - Programming: Proficiency in Python (Pandas, scikit-learn, TensorFlow/PyTorch), SQL, and APIs for data integration. - Cloud Infrastructure: Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker), data lakes, and distributed computing frameworks. - Security & Privacy: Understanding of data encryption, secure storage, and compliance frameworks related to PHI/PII. - Healthcare Domain Knowledge: Experience with healthcare datasets, patient data, or compliance requirements like HIPAA or SOC2 is preferred. - Communication & Collaboration: Ability to explain data-driven insights clearly to non-technical stakeholders, work across product, engineering, and clinical teams. - Problem Solving & Curiosity: Strong analytical mindset with a passion for deriving insights from complex data and designing models that drive user experience improvements. About Us: EbizON is an international team specializing in building technology products and helping brands grow with multi-channel demand generation marketing. The company values integrity, creativity, innovation, mindfulness, and teamwork. EbizON provides equal opportunities for all employees and believes in flexible working hours to help employees thrive and maintain a work-life balance. The company also offers global client exposure and organizes retreats, town halls, and festive celebrations to foster a fun and friendly work culture.,

As an IO Layout Engineer at our company, you will play a crucial role in the layout design of IO blocks such as GPIO, Analog IOs, High-Speed IOs, and Pad ring. Your responsibilities will include: - Working on IO layout for ASIC controllers under the guidance of senior team members. - Collaborating closely with designers to understand design constraints and create quality layout efficiently. - Managing all the Sign Off PV & quality checks on an IP layout. To excel in this role, you are required to meet the following qualifications and requirements: - Hold a Bachelor's or Master's degree in Electronics & Communication/Electrical engineering. - Possess 4 to 8 years of working experience in IO layout. - Have hands-on experience in layout design of IO blocks. - Experience in high-speed, low-power mixed-signal IPs is a plus. - Familiarity with TSMC 5nm layout (or below) using Virtuoso EXL features. - Expertise in Totem EMIR & Self-heating effects, Star RC extraction, and Calibre PV checks. - Good understanding of layout fundamentals such as Matching, EM, ESD, Latch up, coupling, crosstalk, etc. - Proficiency in top-level floorplan and hierarchical layout methodologies. - Possess good verbal and written communication skills. Candidates with only memory/Standard Cell layout experience are not relevant to this requirement. Join us and be part of a dynamic team where your skills and expertise in IO layout will be valued and utilized effectively.,