128 Data Preprocessing Jobs

Python / R, SQL ML/DL (TensorFlow, PyTorch, Scikit-learn) Data Preprocessing, Feature Engineering Visualization (Tableau / Power BI) Cloud exposure (AWS/Azure/GCP preferred)

The role of Manager - Data Scientist requires a minimum of 6+ years of experience in NLP/GenAI/Recommender Systems, with a significant focus on developing enterprise-grade solutions. You should have expertise in handling large datasets and performing data preprocessing on cloud platforms. Your responsibilities will include developing generative AI applications, such as prompt engineering and Retrieval-Augmented Generation (RAG) applications. You should possess a strong understanding of LLM concepts and hands-on experience in utilizing LLMs for POCs and problem-solving, integrating them into the solution workflow. Additionally, you should have practical experience in building various types of recommender systems, such as content-based, collaborative filtering, or hybrid approaches. Proficiency in Python programming is essential for this role, and experience with PySpark is considered a plus. Knowledge of Azure Cloud is mandatory. Effective communication skills are crucial, as you will be required to clearly articulate data science outcomes. Experience with version control systems like Git and familiarity with CI/CD practices, as well as developing/consuming RESTful API, would be advantageous. Preferred qualifications for this role include familiarity with popular recommender system-related algorithms like ALS, KNN, and LightFM. Knowledge of transformer architecture and different types of LLMs (encoder-only, encoder-decoder, and decoder-only) is desirable. Having some hands-on experience in solving NLP problems with or without GenAI would be a beneficial addition to your profile.,

As a Machine Learning Engineer, you will be responsible for applying the latest developments in deep reinforcement learning to enhance the capabilities of autonomous systems. Your tasks will include creating OpenAI-Gym like environments for web and mobile applications, repurposing OpenAI and DeepMind RL algorithms, and formulating solutions for challenging RL problems in discrete action spaces. Additionally, you will utilize your expertise in Computer Vision, Image Processing, Image/Video Analytics, and Object Detection to prototype deep reinforcement learning and computer vision solutions. Your role will also involve collaborating with the team, including product owners, designers, and other developers, as well as customers to gain a comprehensive understanding of business and user requirements. You will be expected to build and evaluate algorithms for test optimization based on user behavior or statistical optimization, and create multi-agent systems to enhance project outcomes. To excel in this position, you should be an expert in Python and stay up to date with the latest advancements in reinforcement learning, particularly in OpenAI Gym, Self-Play, and Multiagent systems. Proficiency in deep learning frameworks such as PyTorch, Tensorflow, or Keras is essential, along with a proven track record of developing learning algorithms and/or systems. Experience in productionizing deep learning systems, pre-processing data sets for computer vision applications, and driving projects to completion with minimal guidance are crucial for success in this role. The ideal candidate will hold a Bachelor's or Master's degree in computer science, Mathematics, Machine Learning, or a related field, or possess equivalent experience. Strong communication skills, effective time management, and organizational abilities are also key qualifications required for this position. If you are a self-learner with a passion for acquiring new knowledge and skills, and possess the ability to communicate analysis results effectively, we encourage you to apply for this challenging and rewarding opportunity.,

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

About the Role We are looking for enthusiastic and self-motivated AI/ML Trainees who are passionate about artificial intelligence, data science, and machine learning. As a trainee, you will work closely with our data science and engineering teams to build, train, test, and deploy machine learning models that solve real-world problems. Key Responsibilities Assist in data collection, preprocessing, cleaning, and exploration. Support in building and training machine learning and deep learning models. Conduct literature reviews and research to stay updated on recent developments in AI/ML. Collaborate with software engineers and data scientists to integrate models into production systems. Document your work and present findings to the team. Required Skills Strong understanding of Python and its ML libraries (NumPy, pandas, scikit-learn, etc.) Basic knowledge of machine learning concepts such as supervised/unsupervised learning, classification, regression, clustering. Exposure to deep learning frameworks like TensorFlow, PyTorch, or Keras (preferred but not mandatory). Understanding of data preprocessing, feature engineering, and model evaluation techniques. Good analytical and problem-solving skills. Effective communication and a team-oriented mindset. Preferred Qualifications Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related field (ongoing or completed). Academic or personal projects in AI/ML (GitHub links, Kaggle profiles are a plus). Familiarity with cloud platforms (AWS, GCP, Azure) is a bonus. Show more Show less

You will be responsible for designing and implementing AI solutions using frameworks such as TensorFlow and PyTorch. Collaborate with cross-functional teams to integrate AI capabilities into products. Additionally, preprocess and analyze data, select appropriate algorithms, and train models to meet business objectives. Evaluate model performance, optimize for accuracy and efficiency, and maintain models in production environments. Ensure scalability and reliability of AI systems, and contribute to continuous improvement through research and experimentation. Document development processes and results, and communicate findings to stakeholders. Your knowledge and skills should include strong programming skills in Python, experience with AI/ML frameworks like TensorFlow and PyTorch, and understanding data preprocessing and model evaluation. You should have knowledge of machine learning algorithms, deep learning architectures, and experience with cloud platforms for model deployment. Proficiency in data visualization and the ability to interpret model outputs for business insights are essential. Familiarity with MLOps practices and tools for managing the AI lifecycle is also necessary. You should be able to work in agile environments and collaborate effectively with cross-functional teams. The mandatory experience for this role includes 3+ years of experience in AI development, including building and deploying machine learning models. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and containerization tools like Docker is required. Experience in developing AI solutions for real-world applications and maintaining them in production environments is essential.,

As a Machine Learning Engineer at our company, you will play a crucial role in designing, developing, and deploying machine learning models to enhance business solutions. Working closely with data scientists, software engineers, and other stakeholders, you will contribute to the creation of scalable machine learning systems that address intricate challenges and boost performance. Your responsibilities will include designing, building, and optimizing machine learning models, preprocessing and transforming data for model training and evaluation, as well as deploying these models in production environments. Collaborating with cross-functional teams will be essential to implement machine learning solutions effectively and continuously monitor and enhance model performance through regular updates. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Additionally, you will be expected to engage in the full sales cycle, achieve monthly targets within the US and Canada Territory, and leverage your skills to provide value to leads without the need for outbound calls. The job offers a unique opportunity to sell management software to directors of SMEs, working on interesting projects with a wide scope including CRM, MRP, Accounting, Inventory, HR, and Project Management. You will have direct coordination with functional consultants for qualification and follow-ups, with high commissions offered to top performers. In terms of job complexity, personal evolution, and job security, this role presents a dynamic and challenging environment with potential for growth and overachievement. You will be part of a team of 10 in a company of 40 individuals, with an average deal size of $15k and a sales cycle lasting 3 months. The company is experiencing significant growth at 50% YoY and is currently profitable. As for benefits, you can enjoy healthcare, dental, vision, life insurance, Flexible Spending Account (FSA), Health Savings Account (HSA), various PTOs including vacation, sick, and paid leaves, commuter benefits, discount programs, and sponsored events such as Tuesday Dinners, Monthly Lunch Mixers, Monthly Happy Hour, and Annual day event. Additionally, the company encourages sport activities, covers expenses for playing sports with colleagues, and provides Peet's and Philz coffee throughout the day along with pantry snacks.,

You will be responsible for applying Natural Language Processing (NLP) AI techniques, conducting machine learning, and developing high-quality prediction systems for data classification. Your main tasks will include presenting information through data visualization techniques, as well as collecting, preprocessing, and harmonizing data. As a part of your role, you will develop applications in machine learning and artificial intelligence, while selecting features, building, and optimizing classifiers using machine learning techniques. Understanding business objectives and creating models to support them, along with relevant metrics to monitor progress, will be crucial. You will need to manage available resources efficiently, such as hardware, data, and personnel, to ensure project deadlines are met. Your responsibilities will also involve analyzing various ML algorithms to identify the most suitable ones for solving a specific problem and ranking them based on success probability. Exploring and visualizing data to comprehend it better, detecting variations in data distribution that could impact model performance in real-world deployment, and verifying data quality through cleaning processes will be essential. You will supervise the data acquisition process if additional data is required, search for relevant datasets online for training purposes, define validation strategies, and determine pre-processing or feature engineering on datasets. Furthermore, you will be involved in defining data augmentation pipelines, training models, tuning hyperparameters, analyzing model errors, and developing strategies to address them. Deployment of models to production environments will also be a key aspect of your role. As a desired candidate, you should possess a strong understanding of machine learning (ML) and deep learning (DL) algorithms, as well as an architectural comprehension of CNN and RNN algorithms. Experience with NLP data models and libraries, entity extraction using NLP, and proficiency in tools like TensorFlow, scikit-learn, and spaCy is required. Additionally, familiarity with transfer learning, scripting and programming skills in Python and Streamlit, common data science toolkits such as NumPy and Fast.AI, and various machine learning techniques and algorithms like k-NN, Naive Bayes, and SVM is essential. Proficiency in query languages, applied statistics skills, data wrangling, data exploration, as well as tools like Tableau and DataPrep will be advantageous. The ideal candidate will be an immediate joiner with no restrictions on salary for the right individual.,

The ideal candidate for this role should have a minimum of 3 years of experience working with AI/ML/data-platform products. You should be adept at taking an AI product/platform from the ideation stage to market launch. Proficiency in GenAI is a must-have requirement for this position. Your responsibilities will include designing, developing, and deploying advanced AI models with a specific focus on generative AI. This will involve working with transformer architectures like GPT, BERT, and T5, as well as other deep learning models used for text, image, or multimodal generation. You will be expected to work with extensive and complex datasets, performing tasks such as data cleaning, preprocessing, and transformation to ensure the quality and relevance standards required for generative model training are met. Collaboration with cross-functional teams, including product, engineering, and data science teams, will be essential to identify project objectives and develop generative AI solutions tailored to meet business needs. Your role will also involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. Developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production, will be part of your responsibilities. As part of your continuous learning, you will need to stay updated on the latest advancements in generative AI research, techniques, and tools, and apply new findings to enhance model performance, usability, and scalability. Additionally, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders will be crucial, with a strong emphasis on explainability and responsible AI practices. Qualifications Required: - Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI is considered a plus. - Experience: 2 - 11 Years of experience in machine learning, with at least 2 years dedicated to designing and implementing generative AI models or working with transformer-based models. Skills and Experience Required: - Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation - Machine Learning: Algorithms, Deep Learning, Neural Networks - Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow - MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) - Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: - BRING YOUR PASSION AND FUN: Enjoy a corporate culture that values highly diverse perspectives and insights. - BALANCE WORK AND PERSONAL TIME LIKE A BOSS: Benefit from resources and flexibility to seamlessly integrate your work and personal life. - BECOME A CERTIFIED SMARTY PANTS: Avail ongoing training and development opportunities to satisfy your appetite for learning. - START-UP SPIRIT (Good ten plus years, yet we maintain it): Experience the agility and innovation of a start-up environment combined with the stability of an established organization. - FLEXIBLE WORKING HOURS: Embrace a work environment that supports flexibility in working hours to enhance work-life balance.,

You are looking for an enthusiastic Associate Data Scientist to join the team at SoftSensor.ai's Jaipur Office. In this role, you will play a crucial part in developing AI models, handling data pre-processing, and conducting data analysis to enhance SoftSensor.ai's analytical approaches and product quality. Your responsibilities will include setting objectives, analyzing experiment outcomes using analytical techniques, and effectively communicating insights, recommendations, and results to stakeholders. To qualify for this position, you should hold a Bachelor's or Master's Degree in Mathematics, Statistics, Computer Science, or a related field. Additionally, you must possess 1-2 years of experience in data analytics, statistical modeling, or similar domains. A strong academic background will be advantageous. Proficiency in machine learning and data science concepts like regression, classification, and clustering is essential. You should also have practical experience in programming languages like Python or R, along with expertise in data querying using SQL and NoSQL databases. Experience in handling large datasets, exceptional analytical skills, and the ability to solve problems critically are key attributes required for this role. Furthermore, excellent communication and presentation skills are essential to effectively convey technical information to non-technical audiences. The role entails working independently as well as collaboratively within a cross-functional team. While not mandatory, familiarity with deep learning, neural networks, and natural language processing will be considered a valuable asset in your application.,

We are looking for an experienced LLM Model Developer to focus on fine-tuning large language models, including instruction fine-tuning and domain adaptation. The role involves working closely with cross-functional teams to enhance model relevance and performance across various applications. The candidate will be responsible for analyzing model outputs, iterating on training processes, and implementing optimization strategies to maintain cutting-edge performance. Roles and Responsibilities: Serve as a subject matter expert (SME) in large language models Collaborate with and manage teams to achieve project goals and high performance Take responsibility for key team decisions and contribute to multi-team collaborations Provide innovative solutions to problems affecting immediate and cross-functional teams Mentor junior team members to support their professional development Continuously evaluate and adopt best practices in model development and fine-tuning Analyze model outputs and refine training processes for improved accuracy and relevance Implement strategies to optimize model performance and deployment Stay updated with the latest advancements in AI and machine learning Professional and Technical Skills: Proficiency in large language models Experience with natural language processing frameworks (preferred) Strong understanding of machine learning principles and algorithms Familiarity with data preprocessing techniques for language models Experience deploying models in production environments

You are invited to apply for the position of AI Intern at Fireblaze AI School, a part of Fireblaze Technologies, based in Nagpur, Maharashtra, India. As an AI Intern, you will have the opportunity to work with a dynamic team on cutting-edge AI and machine learning projects. Your role will involve assisting in the design, development, and testing of machine learning models, analyzing and preprocessing datasets, and supporting the deployment of AI models into production environments. Key Responsibilities: - Assist in designing, developing, and testing machine learning models. - Analyze and preprocess datasets for use in AI experiments. - Support deployment of AI models into production environments or internal tools. - Collaborate with data scientists, software engineers, and product teams. - Document experiments, findings, and technical workflows. - Contribute to literature reviews and stay current with AI/ML research trends. To qualify for this position, you should be currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. Excellent communication and teamwork abilities are essential for this role. If you are passionate about data, algorithms, and innovation, this internship opportunity will provide you with valuable hands-on experience in the field of AI. Join us at Fireblaze AI School and be a part of our mission to provide measurable and transformational value to learners" careers. We are committed to being the most successful and respected job-oriented training provider globally, with a focus on creating a significant digital impact. Your contributions as an AI Intern will play a crucial role in achieving our vision and goals.,

Job Description: You will be the AI Engineer at our IT company located in Nipaniya, Indore. With 24 years of experience in the Information Technology industry, you will play a crucial role in developing intelligent systems and solutions. Your primary responsibility will involve designing, constructing, and implementing artificial intelligence models and machine learning algorithms to address real-world challenges across diverse sectors. Collaborating closely with data scientists, software developers, and business teams, you will be instrumental in creating AI-driven applications, optimizing their performance, and ensuring smooth integration into existing platforms. Your key responsibilities will include designing and executing AI and machine learning models based on specific business needs, processing and analyzing large datasets to identify patterns and trends, building, testing, and deploying scalable machine learning pipelines and AI systems, integrating AI models into applications and products in coordination with cross-functional teams, conducting ongoing research to remain updated on the latest AI technologies, frameworks, and tools, evaluating and enhancing the performance, accuracy, and efficiency of AI models, as well as documenting technical processes and ensuring model version control. To excel in this role, you should have a proven track record in AI/ML model development and deployment, proficiency in programming languages like Python, R, or Java, hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, familiarity with data preprocessing, feature engineering, and model evaluation techniques, and knowledge of cloud platforms like AWS, Azure, or GCP would be beneficial. Strong problem-solving abilities and excellent communication skills are essential. You must hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field to be eligible for this full-time position.,

As a Computer Vision Engineer, you will play a crucial role in transforming business challenges into data-driven machine learning solutions. Your primary responsibility will be to design, develop, and implement computer vision algorithms and models for image and video analysis, object detection, recognition, and tracking. Collaborating with cross-functional teams, you will translate business requirements into technical specifications for computer vision solutions. Staying updated with the latest advancements in computer vision and deep learning, you will identify opportunities for innovation and optimization. To excel in this role, you should have at least 2 years of experience in computer vision and/or deep learning for object detection and tracking, as well as semantic or instance segmentation in academic or industrial domains. Proficiency in Python and related packages such as numpy, scikit-image, PIL, opencv, matplotlib, and seaborn is essential. Additionally, you must possess a strong foundation in data structures and algorithms in Python or C++, along with experience in training models through GPU computing using NVIDIA CUDA or on cloud platforms. Your responsibilities will also include working with large datasets, applying data preprocessing techniques, and optimizing computer vision models for efficiency, accuracy, and real-time performance. Hands-on experience with machine/deep learning frameworks like Tensorflow, Keras, and PyTorch is required, along with expertise in identifying data imbalance, data compatibility, data privacy, data normalization, and data encoding issues. You will be involved in model selection, evaluation, training, validation, and testing, exploring different methods and scenarios for effective outcomes. In this role, you will have the opportunity to work in a dynamic environment with a focus on innovation and collaboration. The position offers a 5-day working week with flexible timings. While we are not currently hiring for the Computer Vision Engineer role, please check back later for potential opportunities to join our team.,

About Biz-Tech Analytics At Biz-Tech Analytics, we specialize in developing production-grade computer vision and AI-driven automation solutions. Our focus is on transforming complex data into actionable insights through scalable AI infrastructure. We are currently seeking Junior Machine Learning Engineers (Computer Vision) who are enthusiastic about tackling real-world challenges, building scalable AI pipelines, and evolving into future technical leaders. Responsibilities As a Junior Machine Learning Engineer, you will collaborate closely with senior engineers to contribute to the design, development, and deployment of Computer Vision models that drive AI automation solutions. Your responsibilities will include assisting in the development and deployment of Computer Vision models for various applications such as object detection, tracking, segmentation, and visual inspections. Additionally, you will be involved in working on image and video data pipelines, encompassing tasks such as data preprocessing, augmentation, and annotation workflows. You will also play a crucial role in model training, evaluation, and optimization to ensure that the models meet performance benchmarks for accuracy and speed. Furthermore, you will collaborate with senior engineers on deploying models to edge/cloud environments and be involved in researching and implementing new Computer Vision techniques. Participation in code reviews, internal discussions, and brainstorming sessions will provide you with exposure to best practices for developing production-grade AI systems. Taking ownership of smaller modules and tasks within larger AI solution projects will be essential to ensure timely and high-quality project delivery. Qualifications The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a reputable institution. A minimum of 2 years of experience (including internships or projects) working with Machine Learning or Computer Vision is required. Proficiency in Python programming is essential, along with hands-on experience with PyTorch or TensorFlow, OpenCV, and relevant Computer Vision libraries gained through internships, academic projects, or competitions. A strong understanding of Computer Vision fundamentals such as object detection, image segmentation, tracking, and image processing is necessary. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques is also expected. The candidate should possess a problem-solving mindset, a keen willingness to learn, and the ability to take ownership of tasks. The role requires the ability to work effectively in a fast-paced, collaborative environment, along with good communication and documentation skills. Good to Have Experience with vision-based automation in the manufacturing industry, exposure to Generative AI workflows, and familiarity with Large Language Models (LLMs) and building multi-modal AI pipelines are advantageous. An understanding of AI governance, data compliance, and security protocols would also be beneficial. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Join us at Biz-Tech Analytics to work on challenging AI problems that require innovative solutions rather than routine approaches. You will have the opportunity to lead end-to-end AI projects with full ownership and collaborate with a small, high-performing team where your contributions are visible and impactful. Our flexible, entrepreneurial work culture provides opportunities for leadership and growth.,

You are a talented and innovative AI/ML Engineer with a strong background in machine learning and deep learning. You have a keen interest in Generative AI (GenAI) and are excited to explore, implement, and scale GenAI models. Your primary responsibilities include designing and deploying end-to-end AI/ML solutions, experimenting with cutting-edge GenAI frameworks and tools, and collaborating with cross-functional teams to solve business problems using ML solutions. Your key responsibilities involve designing and developing robust ML models, including traditional and deep learning approaches. You will also build, train, fine-tune, and deploy Generative AI models for various use cases such as text, image, or code generation. Utilizing AWS services like SageMaker, Lambda, EC2, S3, and Glue to build scalable AI/ML solutions is an essential part of your role. Additionally, you will create and automate ML pipelines using CI/CD and MLOps best practices, conduct data preprocessing, feature engineering, and EDA for model development, and ensure model performance, fairness, and explainability throughout the lifecycle. To excel in this role, you should hold a Bachelor's/Masters degree in Computer Science, AI/ML, Data Science, or a related field and have at least 3 years of hands-on experience in machine learning and deep learning using Python with TensorFlow, PyTorch, Hugging Face, etc. Strong hands-on experience with AWS AI/ML services, experience in deploying LLMs or transformer-based models in production, and familiarity with GenAI tools like Hugging Face Transformers, LangChain, OpenAI API, Bedrock, or LLamaIndex are required. You should also possess working knowledge of REST APIs, microservices, and containerized deployments, proficiency in MLOps tools such as MLflow, SageMaker Pipelines, or Kubeflow, and strong communication skills to present complex ML concepts clearly. Preferred qualifications include experience with prompt engineering, fine-tuning, or RAG techniques, AWS Machine Learning Specialty certification or equivalent, exposure to NLP, computer vision, or multi-modal GenAI models, and contributions to open-source GenAI projects or research. Stay updated with the latest trends in GenAI and propose innovative solutions using LLMs or transformer-based architectures to drive continuous improvement in AI/ML solutions.,

As an engineer specializing in Generative AI and AI agent development at PubMatic, you will play a key role in building and optimizing advanced AI agents that utilize cutting-edge technologies such as Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). Your primary responsibilities will involve developing state-of-the-art solutions to enhance Generative AI capabilities, enabling the platform to handle complex information retrieval, contextual generation, and adaptive interactions. You will collaborate closely with a cross-functional team of engineers, architects, product managers, and UX designers to innovate AI solutions for new customer use-cases. Working independently, you will iterate rapidly based on customer feedback to refine product features. Your tasks will include implementing and optimizing LLMs for specific use cases, integrating RAG systems to enhance content accuracy, designing and optimizing vector databases for efficient search, and fine-tuning prompts to improve LLM performance. In this role, you will leverage evaluation frameworks and metrics to assess and enhance the performance of generative models and AI systems. Additionally, you will work with data scientists, engineers, and product teams to integrate AI-driven capabilities into both customer-facing products and internal tools. Staying updated with the latest research and trends in LLMs, RAG, and generative AI technologies will be essential to driving innovation within the company's offerings. To be successful in this role, you must possess a strong understanding of large language models, transformer architecture, and hyper-parameter tuning. You should have proven experience in building AI agents using Retrieval-Augmented Generation and working with external data sources. Proficiency in Python, experience with machine learning libraries such as TensorFlow and PyTorch, and familiarity with technologies like FAISS, Pinecone, and Weaviate are required. A bachelor's degree in engineering (CS/IT) or an equivalent degree from a reputable institute is necessary for this position. Additionally, experience with graph-based architectures, cloud platforms (AWS, GCP, Azure), and containerization technologies (Docker, Kubernetes) would be beneficial. Publication or contributions to research in AI-related fields are considered a plus. PubMatic offers a hybrid work schedule allowing employees to work 3 days in the office and 2 days remotely, aiming to maximize collaboration and productivity. The benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and other perks such as a kitchen stocked with snacks and catered lunches. Join PubMatic, a leading digital advertising platform, and contribute to driving better business outcomes through transparent advertising solutions on the open internet.,

As a Copilot Architect at Sonata Software, you will be responsible for leveraging your 10+ years of experience to design and implement resilient software systems using your expertise in Gen AI Applications and cloud platforms like Azure, AWS, and Google. Your role will involve utilizing your strong understanding of design patterns, SOLID principles, and hands-on experience with tools such as Lucid, Visio, and DrawIO. Your excellent communication skills will be key in engaging with internal and external stakeholders to design scalable solutions that meet the needs of clients in industries such as Telecom, Media, Technology, Retail & CPG, Manufacturing, BFSI, and HLS. Your proficiency in Python programming and libraries, along with experience working with Azure AI services like Azure OpenAI and Cognitive Services, will enable you to fine-tune pre-trained models and integrate AI solutions into real-world applications. In this role, you will provide thought-leadership in identifying and implementing Gen AI use cases, guiding Tech Leads and junior developers in the team, and collaborating with developers to implement these use cases effectively. Preference will be given to candidates located in Bengaluru who can work from the office regularly. If you are passionate about modernization engineering and have a track record of success in designing and deploying Gen AI applications, then this position at Sonata Software is the perfect opportunity for you to showcase your skills and contribute to the growth of our clients through innovative solutions. For more information about Sonata Software, please visit www.sonata-software.com.,

As a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), you will play a critical role in supporting a high-impact Proof of Concept (PoC) focused on legacy code analysis, transformation, and modernization. Your primary responsibility will be to enable intelligent code migration and documentation through the implementation of advanced AI/ML tooling. You will be expected to develop and integrate LLM-based pipelines, utilizing tools such as Claude Sonnet 3.7 or 4 on AWS Bedrock. Additionally, you will design and implement RAG-based systems for code understanding, leveraging Vector Databases like Milvus or Pinecone. Your expertise in Abstract Syntax Tree (AST) techniques will be crucial for parsing, analyzing, and transforming legacy code for migration and documentation purposes. You will also apply CodeRAG techniques to facilitate context-aware retrieval and transformation of code artifacts. Iterative validation and correction of AI-generated outputs will be part of your routine to ensure the production of high-quality code assets. Data preprocessing and metadata enrichment, including embeddings, structured knowledge, or fine-tuning for LLM input optimization, will also be within your scope of work. Collaboration with domain experts and engineering teams is essential to ensure alignment with architecture and business logic. You will utilize version control systems like Git to manage changes, support collaboration, and ensure reproducibility. Additionally, you will contribute to QA strategies and help define testing protocols for model output validation. To excel in this role, you must have at least 5 years of experience in Machine Learning, with a strong focus on LLM applications and code understanding. Proficiency in Python and solid software engineering principles are a must, as well as experience working with AWS Bedrock for model deployment and orchestration. You should possess a strong understanding and hands-on experience with AST-based code parsing and transformation, familiarity with RAG architectures, and experience working with vector databases like Milvus, Pinecone, or similar. Experience in preprocessing legacy codebases, enriching metadata for LLM consumption, and using Git or other version control systems in collaborative environments are crucial skills. A solid understanding of code migration, modernization processes, and business logic documentation is also required. Nice-to-have skills include ensuring compliance with architectural and code specifications, documenting code flows, aligning with business requirements, familiarity with QA and testing strategies in AI/ML or code-generation workflows, and a collaborative mindset with strong communication skills and a proactive attitude essential for working in a fast-paced PoC environment with tight feedback loops.,

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an enterprise scale and are skilled in data preprocessing, feature engineering, and handling large-scale data. Your expertise extends to image and video processing, object detection, image segmentation, and other computer vision tasks. In addition, you have proficiency in text analysis, sentiment analysis, language modeling, and various NLP applications. You also have experience in speech recognition, audio classification, and signal processing techniques. Your knowledge includes RAG, VectorDB, GraphDB, and Knowledge Graphs. You have extensive experience working with major cloud platforms such as AWS, Azure, and GCP for AI/ML deployments, and integrating cloud-based AI services and tools like AWS SageMaker, Azure ML, and Google Cloud AI. As for soft skills, you exhibit strong leadership and team management abilities, excellent verbal and written communication skills, strategic thinking, problem-solving capabilities, adaptability to the evolving AI/ML landscape, collaboration skills, and the capacity to translate market requirements into technological solutions. Moreover, you have a deep understanding of industry dynamics and a demonstrated ability to foster innovation and creative problem-solving within a team.,

As an AI/ML Engineer at our organization, you will be responsible for focusing on building intelligent systems for automated drawing generation using TensorFlow and related AI tools. Your main duties will include designing, developing, and deploying ML models for automated drawing and sketch generation. You will be tasked with implementing and optimizing deep learning models using TensorFlow and Keras. Furthermore, you will collaborate closely with product and design teams to understand drawing requirements and user needs. In this role, you will need to apply various techniques such as CNNs, GANs, transformers, and image-to-image translation to achieve the desired outcomes. Additionally, fine-tuning pretrained models or building custom architectures for generative tasks will be part of your responsibilities. Integration of ML models into production-grade applications, such as web or mobile interfaces, will also fall under your purview. To be successful in this position, you must hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. A minimum of 6-9 years of experience in AI/ML engineering or a related field is required. Proficiency in TensorFlow and Python is essential, along with experience in generative models like GANs, VAEs, and diffusion models. Familiarity with computer vision techniques, especially in drawing/sketch/image generation, is crucial for this role. Hands-on experience with auto drawing tools, datasets, or related automation tasks is highly beneficial. Moreover, you should have an understanding of data preprocessing, augmentation, and labeling for visual tasks. The ability to write clean, scalable, and well-documented code is important. Preferred qualifications include experience with deep learning for design, CAD, or architectural visualization, knowledge of Reinforcement Learning or self-supervised learning methods, and familiarity with PyTorch, OpenCV, and deployment frameworks like TensorFlow Lite or TensorFlow.js. Contributions to open-source projects in ML or generative AI would be a plus. At our organization, we prioritize a culture of caring and provide ample opportunities for learning and development. You will have the chance to work on interesting and meaningful projects that make an impact. We also value balance and flexibility, offering various work arrangements to help you achieve a healthy work-life balance. As part of a high-trust organization, integrity and trust are integral to our values. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with clients to transform businesses and redefine industries through intelligent products, platforms, and services. If you are looking to be part of a dynamic team driving digital innovation, this role might be the perfect fit for you.,

The Apex Group is a leading fund administration and middle office solutions provider that was established in Bermuda in 2003. With a global reach and local service capabilities, we are dedicated to delivering exceptional services to our clients. Our team of over 13,000 employees across 112 offices worldwide is committed to driving growth and innovation. At Apex Group, we value your energy and passion, and we are here to empower and support you in your career journey. As a Lead Data Analyst at Apex Group, you will be responsible for spearheading our data analytics initiatives and providing technical expertise to the team. Your role will involve shaping data analytics products, designing analytical frameworks, and driving innovation in data analysis methodologies. Working closely with senior leadership, cross-functional teams, and stakeholders, you will play a key role in identifying business opportunities, offering strategic insights, and guiding data-driven initiatives. **Responsibilities:** - Develop and implement data analytics strategies aligned with organizational goals. - Identify data-driven opportunities to optimize business performance and achieve strategic objectives. - Collaborate with senior leaders to define analytical requirements and establish key performance indicators. - Design and implement advanced analytical models and algorithms to extract insights from complex data sets. - Provide thought leadership in data analysis, statistical modeling, and machine learning techniques. - Maintain data governance frameworks and data quality standards to ensure accuracy of data assets. - Lead cross-functional teams in designing data visualizations, dashboards, and reports. - Stay updated with emerging trends and technologies in data analytics. - Mentor junior analysts and support their professional growth. - Collaborate with data engineering teams to ensure efficient data collection and integration. - Present complex findings and recommendations to senior leaders in a clear and compelling manner. - Promote a data-driven culture within the organization. **Requirements:** - Bachelor's degree in a quantitative field; Master's or Ph.D. preferred. - 10 years of experience as a Data Analyst, with significant experience in a senior role. - Proficiency in SQL and programming skills in Python/R. - Knowledge of statistical analysis techniques and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Strong understanding of database structures and data governance principles. - Exceptional analytical, problem-solving, and leadership skills. - Excellent communication and presentation abilities. - Ability to work independently and manage multiple projects effectively. **Preferred Qualifications:** - Experience in cloud platforms and big data technologies. - Familiarity with data science platforms and libraries. - Business acumen and experience in leading cross-functional teams. Location: Bangalore - North, India,

The Machine Learning Intern position is an opportunity for a passionate and motivated individual to join our team and collaborate with data science and engineering teams. As a Machine Learning Intern, you will be involved in building, testing, and deploying machine learning models for real-world applications. Your responsibilities will include assisting in data collection, cleaning, preprocessing, and analysis. You will also develop and test machine learning models using Python and relevant libraries such as scikit-learn, TensorFlow, and PyTorch. Additionally, you will be responsible for supporting model evaluation and optimization for performance improvement, working on real-time ML use cases, and contributing to deployment pipelines. Documenting findings, results, and processes in a clear and organized manner, as well as collaborating with cross-functional teams on research and development projects, will also be part of your role. To excel in this role, you must have a strong understanding of machine learning algorithms and statistical concepts. Proficiency in Python and libraries like NumPy, pandas, and Matplotlib is essential. Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn, as well as knowledge of data preprocessing and model evaluation techniques, are required. Strong problem-solving and communication skills are also crucial for success in this position. This is a full-time position that requires working on-site. If you are passionate about machine learning and eager to apply your skills in a real-world setting, we encourage you to apply for the Machine Learning Intern role.,

TechBirds is a specialized advisory services provider with a global network of technology, business, and functional domain experts. We operate across Asia Pacific, Middle East, and European Union, offering strategic and reselling partnerships in digital, automation, AI, and data analytics to drive technological advancements and business growth. We are currently seeking a GenAI and GCP Specialist for a full-time on-site role based in Bengaluru. As a specialist, you will be responsible for designing, developing, and implementing advanced AI solutions using Google's AI and cloud platform technologies. Your tasks will include working on AI algorithms, data preprocessing, model training, deployment, and performance monitoring. Additionally, you will provide support for GCP services, troubleshoot issues, and optimize cloud resources for efficiency. To be successful in this role, you should be an immediate joiner with 4-5 years of overall experience. You must have proficiency in GenAI algorithms, model training, and deployment with at least 2 years of relevant experience. Expertise in Google Cloud Platform (GCP) services, including data processing and management, is also required with a minimum of 2 years of experience. Additionally, you should have very good experience with AI and ML frameworks such as TensorFlow, PyTorch, Keras, strong programming skills in Java/Python/SQL/etc., and skills in data preprocessing, analysis, and feature engineering. The ideal candidate will possess the ability to troubleshoot and resolve issues related to AI models and cloud infrastructure, along with excellent analytical and problem-solving skills. You should have a proven ability to work collaboratively within a team environment and hold a Bachelor's degree in Computer Science, Engineering, or a related field preferred. In terms of soft skills, strong written and verbal communication in English is essential. Knowledge of Arabic would be a plus but not mandatory. You should demonstrate the ability to multitask, prioritize, and manage time effectively in a dynamic environment. Being proactive, detail-oriented, and solutions-focused with a collaborative attitude will be key to your success in this role.,

You will be joining a dynamic team at Vitraya, where we are dedicated to revolutionizing healthcare operations in India using advanced AI technologies. As a Senior Fullstack AI/ML Engineer, your primary responsibility will be to design, develop, and implement AI and machine learning models, focusing on pattern recognition and neural networks. Your role will involve coding, software development, data analysis, and enhancing existing algorithms. Collaboration with cross-functional teams will be crucial to seamlessly integrate AI solutions into the claims settlement process. Your key responsibilities will include leading the design, development, and deployment of machine learning models across various use cases such as recommendation systems, computer vision, NLP, and predictive analytics. Working with large datasets, you will build, train, and optimize models utilizing techniques like classification, regression, clustering, and neural networks. Additionally, you will fine-tune pre-trained models and develop custom models tailored to specific business requirements. Collaborating with data engineers, you will build scalable data pipelines and ensure smooth model integration into production. Working closely with frontend/backend engineers, you will incorporate AI-driven features into products or platforms and develop proof-of-concept or production-grade AI applications with intuitive UIs. To ensure scalability and performance, you will implement model monitoring and maintenance strategies, design APIs or services exposing machine learning models, and leverage cloud platforms like AWS, GCP, or Azure for deployment and scaling of AI/ML solutions. Staying updated with the latest advancements in AI/ML research, you will apply innovative techniques to enhance existing systems and effectively communicate with stakeholders to translate business requirements into AI/ML-driven solutions. Documenting processes, methodologies, and results will also be essential for future reference and reproducibility. Join us at Vitraya for a rewarding career where your contributions will directly impact patient care quality and reduce administrative burdens on healthcare providers. You will have the opportunity to work on pioneering AI applications that bring measurable improvements to healthcare, while also experiencing professional growth in a supportive, collaborative environment. Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of our dedicated, mission-driven team. If you have 5+ years of experience in AI/ML engineering roles and a proven track record of delivering successful machine learning projects, along with strong expertise in machine learning algorithms, programming languages like Python, relevant ML libraries, data manipulation, model development, cloud platforms, and MLOps practices, we would love to hear from you. Experience with deep learning architectures, deployment strategies for AI models, building full-stack applications powered by AI, real-time model deployment environments, statistics, probability, and Agile development environments will be advantageous. Come be a part of our innovative team at Vitraya and contribute towards building transformative solutions that positively impact patient care and healthcare delivery.,