9 Linear Systems Jobs nearby Kottayam

As a Structural Analysis Engineer, you will be responsible for performing linear and non-linear structural analysis to support the conceptual, preliminary, and detailed design of systems and sub-systems. You will utilize analysis and simulation software such as Abaqus, ANSYS, and HyperWorks to analyze products. Your key responsibilities will include: - Compiling analysis results into a format that is easily interpretable and understood by other stakeholders. - Scheduling analysis reviews to share results and evaluating possible design solutions to improve outcomes. To excel in this role, you should possess the following qualifications: - Minimum 2 to 3 years of experience as an FEA Engineer with proficiency in Hypermesh, HyperView, and Abaqus/ANSYS. - Advantageous to have a minimum of 1 year of experience with ncode or other fatigue tools.,

As a potential candidate for the role at Tech27, you will be responsible for utilizing your expertise in statistics and mathematics to contribute to our big data analytics projects. Your key responsibilities will include: - Possessing a postgraduate degree in Statistics, Mathematics, or a related field with a strong analytical background - Demonstrating exposure to Big Data analytics - Showcasing a strong mathematical background in calculus, linear algebra, probability, and statistics - Having experience in Applied Machine Learning, including regression and classification, supervised and unsupervised learning (a plus) - Being a quick learner with the ability to solve complex problems across multiple domains The company is always looking for dynamic individuals who are willing to be part of a forward-thinking team. If you believe you have the necessary skills and mindset to excel in this role, please forward your CV to hr@tech27.com.,

Experience & Educational Requirements * Minimum of 7 years relevant experience in AI/ML engineering, data science or related roles (industry or product engineering). * Bachelors or Masters degree in Computer Science, Information Technology or similar. * Strong preference: B.Tech/M.Tech in CSE/IT or equivalent and good depth in data structures, algorithms, mathematics for ML. * Demonstrable track record of building and deploying ML models in production (for at least 35 years within the 7+). * Experience in productoriented work (versus purely research) is advantageous.Key Responsibilities * Lead the design, development, implementation and optimization of machine learning, deep learning and anomalydetection models to power Tranzmeos flagship product (e.g., TConnect OneView) and other AI solutions for industrial/IoT infrastructure. * Work endtoend: Data ingestion, cleaning, feature engineering, model training, evaluation, deployment (edge/cloud/hybrid) and monitoring. * Collaborate with hardware/edge teams (e.g., fiberoptic sensing, DAS/DTS data streams) to integrate signal / sensor data pipelines, enabling realtime/nearrealtime anomaly detection. * Build scalable architectures for AI/ML workflows covering large volumes of streaming data, distributed processing, possibly edgecomputing constraints. * Mentor junior ML/data engineers, review code, design best practices, enforce engineering discipline (unittestable code, model versioning, reproducibility). * Engage with crossfunctional stakeholders (product management, domain experts in oil & gas/infrastructure, field engineering) to translate business or operational problems into ML solutions, and iterate model outcomes. * Keep abreast of latest developments in ML/AI (especially anomaly detection, streaming analytics, sensorsignal processing, edge ML) and bring actionable innovation into the companys tech stack. * Contribute to technical architecture decisions, choosing frameworks/libraries/tools (e.g., Python ecosystem, TensorFlow/PyTorch, streaming frameworks, cloud/edge deployment). * Measure model performance in production, define KPIs for detection/falsealarm rates, maintain model drift tracking, identify when to retrain/refine. * Document designs, maintain clear version control, ensure reproducibility of experiments, and manage model lifecycle. * Assist in patenting, IP documentation or presenting internal/external publications/workshops (given the companys deeptech orientation).  Required Technical Skills * Excellent proficiency in Python (including libraries such as NumPy, Pandas, ScikitLearn, etc.). * Strong programming skills: algorithmic thinking, data structures, software engineering fundamentals, version control (Git), code reviews. * Deep experience in ML/AI: supervised, unsupervised, anomaly detection, timeseries, streaming data, deep learning (CNNs, RNNs/LSTM, transformers if applicable). * Experience with sensor data, large scale data ingestion/processing pipelines, streaming analytics (e.g., Kafka, Spark Streaming, Flink) is a plus. * Knowledge of deployment of ML models: either cloud (AWS, Azure, GCP) or edge/hybrid, model serving frameworks, monitoring tools. * Familiarity with IoT/industrial data domains (e.g., pipelines, remote sensing, fiberoptic sensors) is highly desirable domain knowledge will accelerate impact. * Strong mathematics/statistics background: probability, linear algebra, optimization, hypothesis testing, performance metrics ROC/AUC etc. * Ability to write clean, maintainable engineering code (not just notebooks) and collaborate with software / embedded teams. * Good communication skills for liaising with nonML stakeholders, explaining model outcomes, presenting results.  Desired Additional Skills / Attributes * Experience with anomaly detection frameworks and techniques specific to industrial systems, remote sensing, intrusion detection. * Experience with big data technologies (Hadoop/Spark, NoSQL, timeseries databases) and large scale datasets (millions of records) * Familiarity with edge computing constraints: model size, latency, hardware sensors, embedded systems. * Intellectual curiosity, startup mindset: able to work in a growing, somewhat lean organization, comfortable with ambiguity, taking initiative. This aligns well with Tranzmeos culture (entrepreneurial outlook, independent thinking) * Leadership / mentoring ability: able to guide junior engineers, elevate teams capability. * Strong problemsolver: able to pick up domain knowledge rapidly (oil & gas/infrastructure), translate business problem into ML pipeline. * Good documentation, reproducibility mindset, focus on production readiness (not just prototyping). * Willingness to travel or work with field data, deploy models in industrial settings if needed.

As an Advanced AI Researcher & Engineer at JohnTuringWatson Software Solutions Pvt Ltd (JTW), you will be part of the Innovation Team working on cutting-edge solutions in Agentic AI. If you have a passion for using AI, Machine Learning, and next-gen computation models to solve real-world problems, we are looking for talent like you with 2+ years of experience. **Key Responsibilities**: - Designing autonomous, reasoning-driven systems in the field of Agentic AI - Utilizing Python for ML/AI pipelines and quantum programming - Implementing Deep Learning using TensorFlow, PyTorch, or Hugging Face frameworks - Working on NLP and LLMs with experience in transformer architectures, prompt engineering, or fine-tuning models - Demonstrating expertise in ML Ops including model deployment, performance tuning, and monitoring - Applying strong foundations in Mathematics, Probability, Linear Algebra, and Statistics **Qualifications Required**: - Solid understanding of AI/ML concepts such as supervised, unsupervised, and reinforcement learning - Ability to research, prototype, and scale AI models into production - Comfortable in a cross-functional R&D environment - Prior experience contributing to AI publications, open-source projects, or patents is a plus If you join JTW, you will have the opportunity to work on industry-defining projects with an elite research team. You will also gain exposure to emerging domains like Agentic AI, Edge-native models, and Quantum-AI fusion in a collaborative, innovation-first culture with global delivery reach. Additionally, you will have access to dedicated infrastructure, including AI model labs and quantum simulators.,

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.,

As a Machine Learning Engineer at G3 Interactive in Kochi, you will be responsible for developing intelligent, data-driven solutions tailored to client needs. You will be a key player in building real-world machine learning applications, from exploring new algorithms to deploying robust systems. Key Responsibilities: - Apply over two years of hands-on experience with deep learning and neural networks in practical projects - Research and evaluate novel machine learning models and techniques - Build and test experimental prototypes to support product development - Design ML systems based on specific client or business requirements - Translate model results into meaningful business insights - Assess test results and enhance model performance through continuous tuning - Conduct data exploration and visualization to uncover issues affecting model accuracy - Prepare datasets from varied sources such as APIs, databases, or structured files - Deploy machine learning models to production and manage their ongoing performance Required Skills & Qualifications: - Strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods - Degree in Computer Science, Mathematics, Statistics, or a related discipline - Proficiency in Python and SQL - Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn - Good grasp of software architecture, data modeling, and data structures - Experience running ML models on cloud services (AWS, Azure, or Google Cloud) - Strong problem-solving abilities, teamwork, and analytical thinking - Familiarity with data science workflows and tools In this role, you will need to have a strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods. A degree in Computer Science, Mathematics, Statistics, or a related discipline is required. Proficiency in Python and SQL is essential, along with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Additionally, you should have a good grasp of software architecture, data modeling, and data structures. Experience running ML models on cloud services like AWS, Azure, or Google Cloud is preferred. Strong problem-solving abilities, teamwork skills, and analytical thinking are important for success in this role. Familiarity with data science workflows and tools is a plus. Please note that the job type is full-time, with day and morning shifts available. The ability to reliably commute or plan to relocate to Ernakulam, Kerala, is required. The work location is in person at Ernakulam, Kerala.,

Job Description: You have a strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch. Familiarity with Java or C++ is a plus. You have a solid grasp of linear algebra, probability, statistics, and algorithms for model development. You also have practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch. Key Responsibilities: - Strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch - Familiarity with Java or C++ is a plus - Solid grasp of linear algebra, probability, statistics, and algorithms for model development - Practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch - Ability to collect, clean, transform, and analyze data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop) - Experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes - Familiarity with command-line tools and Unix-based system administration - Skilled in analyzing datasets and visualizing results using Python, R, or similar tools - Understanding of ethical AI development, bias mitigation, and compliance with data privacy laws Qualifications Required: - Strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch - Familiarity with Java or C++ is a plus - Solid grasp of linear algebra, probability, statistics, and algorithms for model development - Practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch - Ability to collect, clean, transform, and analyze data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop) - Experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes - Familiarity with command-line tools and Unix-based system administration - Skilled in analyzing datasets and visualizing results using Python, R, or similar tools - Understanding of ethical AI development, bias mitigation, and compliance with data privacy laws Please note that this job is a Full-time position with an in-person work location, and the schedule is a day shift.,

As a Senior Data Scientist Engineer, you will play a pivotal role in designing and developing cutting-edge data systems to facilitate analytics, machine learning, and business intelligence initiatives. Your deep expertise in data engineering and data science will be instrumental in handling complex datasets, building scalable predictive models, and delivering actionable insights that drive strategic decisions across the organization. Key Responsibilities: - Extract usable data from valuable sources through data mining techniques - Utilize machine learning tools to select features, create, and optimize classifiers - Conduct preprocessing of both structured and unstructured data - Enhance data collection procedures to ensure inclusion of all relevant information for analytic system development - Process, cleanse, and validate data integrity for analysis purposes - Analyze vast amounts of information to identify patterns and propose solutions - Develop prediction systems and machine learning algorithms - Present results effectively to stakeholders - Collaborate with Business and IT teams to tackle business challenges effectively Preferred Skills: - Proficiency in statistical programming languages such as R, Python, and database query languages like SQL, Hive, Pig - 5+ years of experience as a data scientist - Familiarity with Scala, Java, or C++ is advantageous - Strong applied statistical skills and knowledge of statistical tests, distributions, regression, and estimators - Good understanding of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests - Solid grasp of Multivariable Calculus and Linear Algebra - Proficiency in data wrangling and handling imperfections in data - Experience with data visualization tools like matplotlib, ggplot, d3.js, and Tableau - Excellent communication skills for conveying findings to both technical and non-technical audiences - Strong software engineering background and problem-solving aptitude - Analytical mindset and business acumen - Degree in Computer Science, Engineering, or a relevant field preferred - Proven experience as a Data Analyst or Data Scientist The 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 opportunities - Fun family environment with experienced developers - Internal rewards programs based on performance - Work-life balance initiatives including flexible work timings, early-out Fridays, and social activities - Company-sponsored international tours This is a Full-Time Data Science role located in Kochi Trivandrum.,

As a Data Engineer, your role will involve building data pipelines such as crawling/fetch pipelines, parsing job postings & CVs, and creating embeddings for similarity search. You will also be responsible for integrating with external systems like HR4YOU, SerpAPI, and BA job board, and ensuring batch/stream processing and telemetry for data quality. Key Responsibilities: - Develop crawling/fetch pipelines using an API-first approach and tools like playwright/requests - Normalize job postings & CVs, implement deduplication/delta logic, and perform embeddings/similarity search - Integrate with external systems such as HR4YOU, SerpAPI, BA job board, email/SMTP, etc. - Implement batch/stream processing, retry/backoff mechanisms, and dead-letter queues - Ensure telemetry for monitoring data quality metrics like freshness, duplicate rate, coverage, etc. - Collaborate with frontend team for data exports and admin configuration Qualifications Required: - 4+ years of backend/data engineering experience - Proficiency in Python (FastAPI, pydantic, httpx/requests, Playwright/Selenium) and TypeScript - Experience with Azure services like Functions/Container Apps, AKS jobs, Storage/Blob, Key Vault, Monitor/Log Analytics - Knowledge of messaging systems, databases like PostgreSQL, pgvector, and ETL/ELT patterns - Familiarity with testability (pytest), observability (OpenTelemetry), and clean code practices Additional Company Details: The company follows an API-first working method, emphasizes clean code, trunk-based development, and mandatory code reviews. Tools/stack used include GitHub, GitHub Actions/Azure DevOps, Docker, pnpm/Turborepo, Jira/Linear, and Notion/Confluence. The working culture also involves rotating on-call/support where "you build it, you run it." Please let me know if you need more information or clarification regarding the job description.,

As a Principal AI Engineer at G-P, your role involves designing, developing, and deploying AI solutions to address complex business challenges. You will need advanced expertise in artificial intelligence, including machine learning and natural language processing, to implement these technologies in production-grade systems. Your responsibilities will include: - Developing innovative, scalable AI solutions for real business problems. Driving the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives. - Owning highly open-ended projects end-to-end, from analyzing business requirements to deploying solutions. Expect to dedicate about 20% of your time to understanding problems and collaborating with stakeholders. - Managing complex data sets, designing efficient data processing pipelines, and working on robust models. Expect to spend approximately 80% of your time on data and ML engineering tasks related to developing AI systems. - Working closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction. - Writing clear, concise, and comprehensive technical documentation for all projects and systems developed. - Staying updated on the latest developments in the field. Exploring and prototyping new technologies and approaches to address specific challenges faced by the business. - Developing and maintaining high-quality machine learning services. Prioritizing robust engineering practices and user-centric development. - Being able to work independently and influence at different levels of the organization. - Being highly motivated and result-driven. Required Skills and Qualifications: - Master's degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field. - Deep understanding and practical experience in machine learning and natural language processing, especially LLMs. - Strong foundational knowledge in statistical modeling, probability, and linear algebra. - Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability. - Experience developing and maintaining machine learning services for real-world applications at scale. - Strong Python programming skills. - High standards for code craftsmanship (maintainable, testable, production-ready code). - Proficiency with Docker. - Knowledge of system design and cloud infrastructure for secure and scalable AI solutions. - Proficiency with AWS. - Proven track record in driving AI projects with strong technical leadership. - Excellent communication skills when engaging with both technical and non-technical stakeholders. Nice To Have Qualifications: - Experience with natural language processing for legal applications. - Proficiency with Terraform. - React and Node.js experience. If you're ready to make an impact in a high-paced startup environment, with a team that embraces innovation and hard work, G-P is the place for you. Be ready to hustle and put in the extra hours when needed to drive our mission forward.,

As a Data Scientist, your role will involve designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models such as Random Forest and Boosting using R/Python. You should have a strong grasp of Probability and Statistics, with the ability to apply concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of unforeseen situations like pandemics is essential. Conducting Exploratory Data Analysis (EDA) on raw data and performing feature engineering when necessary will be part of your responsibilities. Key Responsibilities: - Demonstrating proficiency in Data Visualization using the Python/R Data Science Stack - Leveraging cloud platforms for training and deploying large-scale solutions - Training and evaluating ML models using various machine learning and deep learning algorithms - Ensuring model accuracy is maintained during deployment and retraining as needed - Packaging and deploying large-scale models on on-premise systems using multiple approaches including Docker - Taking complete ownership of the assigned project - Working in Agile environments and utilizing project tracking tools like JIRA - Utilizing cloud platforms such as AWS, Azure, and GCP - Handling NoSQL databases like MongoDB, Cassandra, Cosmos DB, and HBase - Experience in forecasting with products like SAP, Oracle, Power BI, Qlik, etc. - Proficiency in Excel including Power Pivot, Power Query, Macros, and Charts - Working with large datasets and distributed computing tools such as Hive, Hadoop, and Spark - Implementing transfer learning with state-of-the-art models in various domains like vision, NLP, and speech - Integrating with external services and Cloud APIs - Using data annotation approaches and tools for text, images, and videos Qualifications Required: - Strong background in Data Science, Statistics, or related fields - Proficiency in programming languages such as R and Python - Experience with machine learning, deep learning, and statistical modeling - Familiarity with cloud platforms, NoSQL databases, and forecasting tools - Ability to work with large datasets and distributed computing frameworks - Excellent problem-solving skills and the ability to work independently - Strong communication and teamwork skills (Note: Additional details about the company were not provided in the job description.),

Role Overview: You will be joining the Data Science and AI/ML team that collaborates across the organization to develop and deliver AI and ML powered software solutions aimed at improving patient outcomes, satisfying partners and customers, and enhancing business operations in an AI First manner. Your role as a Sr. Mgr. for Machine Learning Engineering will involve leading the development of ML architecture and operations, managing the AI operations team, ensuring production-grade AI/ML systems, and fostering best coding practices within the team. Key Responsibilities: - Drive a culture of learning within your team and challenge the status quo - Mentor and lead a team of engineers to help them grow - Collaborate with senior technology stakeholders to make key technology decisions - Grow and mentor talent to build a world-class development culture - Work closely with stakeholders to create impactful AI/ML features and products - Lead and develop a team of ML engineers to execute the AI/ML roadmap - Develop and optimize departmental processes to enhance team performance - Lead AI/ML model development, deployment, implementation, and monitoring - Collaborate with Data Scientists and Data Engineers, owning the end-to-end process - Build and maintain global AI/ML architectures and provide production support - Document model & ML system design, experiments, tests, validations, and live metrics - Stay updated on industry trends and leverage best practices for successful AI/ML solutions - Implement internal process improvements and build capabilities for production-level AI/ML systems - Support stakeholders with AI/ML-related technical issues and infrastructure needs - Handle escalated incidents and suggest solutions for future prevention - Participate in Code Review and process improvement Qualification Required: - 8+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering - M.S or PhD in Data Science/Machine Learning or related areas like Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics - Experience managing Data Science, Machine Learning, and/or AI teams - Strong leadership experience in AI/ML programs, development processes, and mentoring - Proficiency in developing data analytics systems, including model building, performance evaluation, and online deployment - Experience building scalable AI/ML systems for various advanced AI/ML problems - Knowledge of handling large and distributed datasets on various platforms - Familiarity with AWS or other cloud-based tools for data processing, model development, deployment, and monitoring - Strong mathematical foundation for Data Science, including probability, statistics, optimization, and linear algebra - Expertise in machine learning techniques such as regression, classification, clustering, time series forecasting, and optimization methods Note: Joining this team means being part of a culture that focuses on excellence, diversity, and inclusivity, encouraging individual expression and innovative ideas. If you are ready to contribute to making the world a healthier place and thrive in a challenging and supportive environment, apply now!,

Role Overview: You should have a good understanding of various Generative AI techniques including GANs, VAEs, and other relevant architectures. Your experience in applying these techniques to real-world problems for tasks such as image and text generation will be crucial. Make sure you are conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Exposure to both API-based and open-source LLMs based solution design is expected. Key Responsibilities: - Get to the heart of customer issues, diagnose problem areas, design innovative solutions, and facilitate deployment resulting in client delight as part of the Infosys consulting team. - Develop a proposal by owning parts of the proposal document and giving inputs in solution design based on areas of expertise. - Plan the activities of configuration, configure the product as per the design, conduct conference room pilots, and assist in resolving any queries related to requirements and solution design. - Conduct solution product demonstrations, POC, Proof of Technology workshops, and prepare effort estimates which suit the customer budgetary requirements and are in line with the organization's financial guidelines. - Actively lead small projects and contribute to unit-level and organizational initiatives with the objective of providing high-quality, value-adding solutions to customers. Qualification Required: - An overall understanding of machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks. - Proficiency in data science tools such as NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras. - Familiarity with cloud computing platforms like AWS, Azure, GCP. - Knowledge of natural language processing, NLP Transformer models, attention mechanisms, word embeddings. - Experience in computer vision, convolutional neural networks, recurrent neural networks, object detection. - Exposure to robotics, reinforcement learning, motion planning, control systems. - Understanding of data ethics, bias in machine learning, fairness in algorithms.,

As an AI Engineer with 3+ years of experience specializing in Generative AI and Agentic Systems, you will play a crucial role in designing, developing, and deploying advanced AI models and autonomous agents. Your responsibilities will include working on exciting projects that push the boundaries of AI, from creating sophisticated content generation tools to developing intelligent agents capable of complex decision-making and problem-solving. You should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field. **Key Responsibilities:** - Design, develop, and implement state-of-the-art generative AI models such as Large Language Models (LLMs), Diffusion Models, GANs, VAEs, Transformers for various applications like text generation, image synthesis, code generation, and data augmentation. - Architect and build autonomous AI agents capable of planning, reasoning, learning from interaction, and executing complex tasks in dynamic environments. This includes developing multi-agent systems and integrating them with existing platforms. - Prepare, preprocess, and manage large datasets for training and evaluating generative and agentic AI models, ensuring data quality and relevance. - Stay updated on the latest research and developments in Generative AI, Agentic AI, and Machine Learning. Experiment with new algorithms, frameworks, and techniques to enhance model performance and capabilities. - Develop robust evaluation metrics and conduct rigorous testing to assess model performance, reliability, and ethical implications. Optimize models for efficiency, scalability, and deployment in production environments. - Integrate developed AI models and agentic systems into existing software architectures and applications, collaborating closely with MLOps, backend, and frontend teams. - Work effectively within cross-functional teams, communicate technical concepts clearly, and contribute to a collaborative and innovative team culture. - Identify and troubleshoot complex technical issues related to AI model development, deployment, and performance. **Qualifications Required:** - 3+ years of hands-on experience in AI/ML development, with a significant focus on Generative AI and/or Agentic Systems. - Strong proficiency in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, Keras, Scikit-learn). - Proven experience with various generative models (LLMs, GANs, VAEs, Diffusion Models, Transformers) and understanding of their underlying principles. - Familiarity with agent architectures, reinforcement learning fundamentals, planning algorithms, multi-agent systems, and prompt engineering for LLM-based agents. - Solid understanding of linear algebra, calculus, probability, and statistics as applied to machine learning. - Excellent analytical and problem-solving skills to tackle complex technical challenges creatively. In addition to the above qualifications, it would be preferred if you have experience with cloud platforms (AWS, Azure, GCP) and MLOps practices, familiarity with agentic AI frameworks such as LangChain, LlamaIndex, AutoGPT, or similar, experience with distributed computing frameworks (e.g., Spark, Dask), knowledge of natural language processing (NLP) or computer vision techniques, contributions to open-source projects or relevant publications in AI conferences/journals, and strong communication and presentation skills. As an AI Engineer with 3+ years of experience specializing in Generative AI and Agentic Systems, you will play a crucial role in designing, developing, and deploying advanced AI models and autonomous agents. Your responsibilities will include working on exciting projects that push the boundaries of AI, from creating sophisticated content generation tools to developing intelligent agents capable of complex decision-making and problem-solving. You should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field. **Key Responsibilities:** - Design, develop, and implement state-of-the-art generative AI models such as Large Language Models (LLMs), Diffusion Models, GANs, VAEs, Transformers for various applications like text generation, image synthesis, code generation, and data augmentation. - Architect and build autonomous AI agents capable of planning, reasoning, learning from interaction, and executing complex tasks in dynamic environments. This includes developing multi-agent systems and integrating them with existing platforms. - Prepare, preprocess, and manage large datasets for training and evaluating generative and agentic AI models, ensuring data quality and relevance. - Stay updated on the latest research and developments in Generative AI, Agentic AI, and Machine Learning. Experiment with new algorithms, frameworks, and techniques to enhance model performance and capabilities.

You will be working as an advanced analyst in the India Analytics team at Thoucentric, closely collaborating with the Community Voice team. Your main responsibility will be building analytical solutions using unstructured text data to provide scalable insights and solutions for data-driven decisions. This is a 6-month contract role with a possibility of extension, situated under the Analytics Centre of Excellence within the Global Ops Insights organization. - Build, maintain, and scale ML/LLM models for text classification, sentiment analysis, entity recognition, and other NLP tasks using Python libraries such as NLTK, SpaCy, Hugging Face Transformers, and Gensim. - Utilize SQL and other database tools to query, analyze, and manipulate data stored in multiple relational databases. - Work on unstructured and semi-structured data sources like social media feeds, reviews, surveys, and customer feedback to generate business insights. - Implement advanced analytics techniques for clustering, topic modeling (LDA, LSA), and semantic analysis of textual data. - Develop and maintain dashboards and data visualizations using tools like Tableau, Superset, or Python visualization libraries (Matplotlib, Seaborn, Plotly). - Collaborate closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to translate business requirements into analytical solutions. - Stay up to date with the latest trends and best practices in NLP, AI/LLMs and experiment with newer techniques to shift bias towards efficiency. - Work on improving existing NLP models, pipelines, and workflows, ensuring performance optimization and scalability using feature engineering techniques. Skills & Expertise Required: - 5-8 years of industry experience and an Advanced degree in Business Analytics or other quantitative field (Masters or PhD is a plus). - Proven track record of delivering full stack AI/ML projects from inception to business impact. - Advanced level proficiency in Python, including libraries such as NLTK, spaCy, scikit-learn, numpy, and pandas. - Strong understanding of SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. - Familiarity with linear regression, logistic regression, SVM, random forest, advanced concepts of NLP, KNN, K-Means, A/B testing, and multivariate testing. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. - Hands-on experience in text classification, sentiment analysis, topic modeling, and named entity recognition (NER), proficiency in building and deploying machine learning models and analyzing unstructured data. - Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn. - Familiarity with Git or other version control systems, deep learning models for NLP tasks, such as transformers (e.g., BERT, GPT). - Possess a positive and solution-oriented mindset, with exceptional problem-solving abilities, self-motivation, and strong organizational and time management skills. - Excellent communication and collaboration skills with the ability to work effectively in a cross-cultural and cross-functional environment. - Ability to conduct exploratory data analysis (EDA) to uncover insights and trends in data and communicate findings to both technical and non-technical audiences. Thoucentric offers a great consulting environment where you have the opportunity to define your career path, work with Fortune 500 companies and startups, and be part of a supportive working environment that encourages personal development. Additionally, you will be part of an extended family with an open culture, flat organization, and excellent peer group, contributing to the exciting growth story of Thoucentric.,

As a Product Designer at Recrivio, you will have the opportunity to blend design precision with creative storytelling. You will be responsible for owning end-to-end product design from concept to pixel-perfect delivery and play a key role in shaping how users experience Recrivio's digital products. **Key Responsibilities:** - Design intuitive and scalable interfaces for web and dashboard-based SaaS platforms. - Create wireframes, user journeys, and interactive prototypes using Figma. - Establish and maintain a scalable design system with reusable components. - Collaborate closely with developers to ensure smooth handoffs and seamless execution. - Develop visually consistent marketing creatives such as landing pages, social posts, and pitch decks. - Ensure accessibility, clarity, and brand consistency across all screens. - Translate abstract ideas into beautiful, functional designs that drive real impact. **Qualifications Required:** - Strong fundamentals in usability, interaction design, and information architecture. - Proficiency in Figma including Auto Layout, Variants, Design Systems, and Prototyping. - Experience in designing responsive dashboards and web apps. - Proficiency in Adobe Photoshop for image editing, compositing, and UI visuals. - Proficiency in Adobe Illustrator for icons, illustrations, and brand assets. - Knowledge of After Effects/Premiere Pro for motion graphics or micro-interactions is a plus. - Strong grasp of typography, color systems, and brand storytelling. - Familiarity with tools like Notion, Linear, Jira for workflows. - Experience with Figma Inspect, Zeplin for developer handoff, and Slack/Teams for collaboration. - Bonus points for experience in designing SaaS or HRTech products, familiarity with Framer, Webflow, or Wix Studio for rapid prototyping, and understanding of basic HTML/CSS for design-to-dev collaboration. At Recrivio, you will have the opportunity to design core products that power enterprise-grade users globally. You will see your work go live quickly, collaborate directly with founders and developers in a zero-bureaucracy environment, build a real portfolio with impactful products, and work onsite at the creative hub in Bengaluru with a driven, design-led product team. As a Product Designer at Recrivio, you will have the opportunity to blend design precision with creative storytelling. You will be responsible for owning end-to-end product design from concept to pixel-perfect delivery and play a key role in shaping how users experience Recrivio's digital products. **Key Responsibilities:** - Design intuitive and scalable interfaces for web and dashboard-based SaaS platforms. - Create wireframes, user journeys, and interactive prototypes using Figma. - Establish and maintain a scalable design system with reusable components. - Collaborate closely with developers to ensure smooth handoffs and seamless execution. - Develop visually consistent marketing creatives such as landing pages, social posts, and pitch decks. - Ensure accessibility, clarity, and brand consistency across all screens. - Translate abstract ideas into beautiful, functional designs that drive real impact. **Qualifications Required:** - Strong fundamentals in usability, interaction design, and information architecture. - Proficiency in Figma including Auto Layout, Variants, Design Systems, and Prototyping. - Experience in designing responsive dashboards and web apps. - Proficiency in Adobe Photoshop for image editing, compositing, and UI visuals. - Proficiency in Adobe Illustrator for icons, illustrations, and brand assets. - Knowledge of After Effects/Premiere Pro for motion graphics or micro-interactions is a plus. - Strong grasp of typography, color systems, and brand storytelling. - Familiarity with tools like Notion, Linear, Jira for workflows. - Experience with Figma Inspect, Zeplin for developer handoff, and Slack/Teams for collaboration. - Bonus points for experience in designing SaaS or HRTech products, familiarity with Framer, Webflow, or Wix Studio for rapid prototyping, and understanding of basic HTML/CSS for design-to-dev collaboration. At Recrivio, you will have the opportunity to design core products that power enterprise-grade users globally. You will see your work go live quickly, collaborate directly with founders and developers in a zero-bureaucracy environment, build a real portfolio with impactful products, and work onsite at the creative hub in Bengaluru with a driven, design-led product team.

Role Overview: As a skilled Generative AI Developer, you will be a valuable member of the team contributing to the advancement of cutting-edge generative models. Your primary focus will be on crafting AI systems capable of generating innovative and human-like content spanning various domains such as natural language, images, videos, and music synthesis. Key Responsibilities: - Develop and refine generative models utilizing techniques such as GANs, VAEs, Transformers, and Diffusion models. - Work on tasks involving text generation, image generation, music/sound generation, video creation, and other creative AI applications. - Design, construct, and deploy models using frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. - Optimize AI models for performance, accuracy, and scalability in real-world production environments. - Stay updated on the latest trends, research papers, and breakthroughs in the field of generative AI. - Collaborate with cross-functional teams to integrate models into production systems and ensure seamless operations. - Perform data preprocessing, augmentation, and design pipelines to enhance model training input quality. - Document code, processes, and model outputs for team-wide visibility and knowledge sharing. Qualification Required: - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

As a skilled Unreal Engine Developer, your role will involve designing, developing, and implementing high-quality multiplayer game features using Unreal Engine. You will utilize vector math and linear algebra to create immersive gameplay experiences and apply strong OOP concepts, data structures, and algorithms for optimizing game systems and performance. Additionally, you will need to develop gameplay mechanics and systems using C++ or C#, identify and resolve technical issues, and collaborate with designers and artists to integrate assets into the game engine. Your key responsibilities will include: - Designing, developing, and implementing high-quality multiplayer game features using Unreal Engine - Using vector math and linear algebra to build immersive and realistic gameplay experiences - Applying strong OOP concepts, data structures, and algorithms to optimize game systems and performance - Developing gameplay mechanics and game systems using C++ or C# - Identifying, analyzing, and resolving complex gameplay and technical issues to ensure smooth performance - Working collaboratively in an agile development environment following Scrum methodologies - Integrating 3D assets, animations, and VFX into the game engine in collaboration with designers and artists - Staying current with industry trends, tools, and techniques to continuously enhance game quality Qualifications required for this role include: - 2+ years of game development experience, preferably with Unreal Engine - Strong background in multiplayer game development and understanding of online gameplay challenges - Solid understanding of vector math and linear algebra for physics and advanced gameplay mechanics - Strong foundation in OOP, Data Structures, and Algorithms - Proficiency in C++ or C# with the ability to write optimized and maintainable code - Strong problem-solving and analytical skills with a creative approach to challenges - Familiarity with Agile/Scrum methodologies and iterative development practices - Excellent communication and teamwork skills,

Role Overview: You will be responsible for leveraging your expertise in Python and LLM frameworks such as Hugging Face Transformers and LangChain to contribute to the development of cutting-edge AI solutions. Your role will involve working on big data processing using Spark, implementing version control with Git and experiment tracking with MLflow. Additionally, you will be expected to demonstrate proficiency in software engineering practices, DevOps tools, LLM infrastructure, MLOps strategies, and cloud services while collaborating with cross-functional teams in a Microservices based architecture. Key Responsibilities: - Demonstrate advanced proficiency in Python and familiarity with Go or Rust for software development - Utilize LLM frameworks such as Hugging Face Transformers and LangChain for prompt engineering techniques - Implement big data processing using Spark for large-scale data analytics - Manage version control and experiment tracking using Git and MLflow - Develop expertise in microservices, test-driven development, and concurrency processing - Experience with Infrastructure as Code tools like Terraform and CloudFormation - Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, and container orchestration with Kubernetes - Proficiency in LLM serving platforms like vLLM and FastAPI, model quantization techniques, and vector database management - Utilize containerization strategies for ML workloads and experience with model serving tools like TorchServe or TF Serving - Demonstrate a strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems - Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security - Create detailed Low-Level Design (LLD) for the provided architecture - Apply strong mathematical foundation in statistics, probability, linear algebra, and optimization in ML and LLM development - Implement feature engineering, embedding optimization, and dimensionality reduction techniques - Utilize advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing - Experience with RAG systems, vector databases, and semantic search implementation - Implement LLM optimization techniques including quantization and knowledge distillation - Apply MLOps practices for model deployment and monitoring - Demonstrate strong analytical thinking and problem-solving skills for complex ML challenges - Present technical findings to diverse audiences with excellent communication skills - Translate business requirements into data science solutions and coordinate ML experiments and deployments - Collaborate effectively with cross-functional teams and stay current with the latest ML research and best practices Qualifications Required: - Proficiency in Python, SQL, and knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch) - Experience with cloud platforms like AWS or GCP - Strong understanding of Microservices LLM, FastAPI, Vector DB (Qdrant, Chromadb, etc.), RAG, MLOps & Deployment, Cloud, Agentic AI Framework, Kubernetes, Architecture & Design - Additional skills in Data Science, ML, and NLP are considered a plus (Note: The job description does not include any additional details about the company.),

Role Overview: As an AI Engineer at Merkle, your role involves leading and managing customer analysis deep dives, executing strategies outlined by senior leadership, and managing day-to-day communication with clients. Key Responsibilities: - Develop algorithms and build predictive models from the ground up, utilizing machine learning and deep learning frameworks - Extensive experience in building Information retrieval systems and relevance engineering - Building AI models from scratch and assisting product managers and stakeholders with analysis and implementation - Transform machine learning models into APIs for integration with other applications - Provide training for AI engineers on model development and deployment Qualification Required: - Programming Languages: Proficiency in Python and SQL - Machine Learning & AI Technologies: Advanced knowledge in Machine Learning models and Large Language Models (LLM), experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models and building Knowledge Graphs - Cloud Platforms & Tools: Experience with Azure, AWS, or Google Cloud and AI Stack - Data Technologies: Familiarity with big data technologies such as Apache Spark, Hadoop, and MongoDB - Mathematical Foundation: Strong understanding of probability, statistics, and linear algebra Additional Company Details: Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent (Note: The company details were included in the Job Description),