1973 Preprocessing Jobs - Page 38

Ascendeum is looking for mathematicians, with extensive hands-on experience in the field of data science, who can analyze large data sets efficiently to generate actionable business intelligence that drives peak performance for our clients. About Us: We provide AdTech strategy consulting to leading internet websites and apps hosting over 200 million monthly audiences worldwide. Since 2015, our consultants and engineers have consistently delivered intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns. Job Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns Helping develop reports and analysis. Present information using data visualisation techniques. Assessing tests, implementing new or upgraded software, and assisting with strategic decisions on new systems. Evaluating changes and updates to source production systems. Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks. Providing technical expertise in data storage structures, data mining, and data cleansing. Propose solutions and strategies to business challenges Desired Skills and Experience: Relevant 4+ years of experience in Data Analysis Complete understanding of Operations Research, Data Modelling, ML, and AI concepts. Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills. Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred Thank you for your interest in joining Ascendeum.

Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

Overview: The Associate Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1627766

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri’s R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2702

Job Summary We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world problems. The ideal candidate should have strong foundations in machine learning algorithms , Python programming , and experience with model development , data pipelines , and production deployment in cloud or on-prem environments. Key Responsibilities Design and implement machine learning models and AI solutions for business use cases Build and optimize data preprocessing pipelines for training and inference Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models Collaborate with data engineers, product teams, and software developers Deploy ML models into production using APIs, Docker, or cloud-native tools Monitor model performance and retrain/update models as needed Document model architectures, experiments, and performance metrics Research and stay updated on new AI/ML trends and tools Required Skills And Experience Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc.) Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch Solid understanding of machine learning algorithms, data structures, and statistics Experience with NLP, computer vision, or time series analysis is a plus Familiarity with tools like Jupyter, MLflow, or Weights & Biases Understanding of Docker, Git, and RESTful APIs Experience with cloud platforms such as AWS, GCP, or Azure Strong problem-solving and communication skills Nice To Have Experience with MLOps tools and concepts (CI/CD for ML, model monitoring) Familiarity with big data tools (Spark, Hadoop) Knowledge of FastAPI, Flask, or Streamlit for ML API development Understanding of transformer models (e.g., BERT, GPT) or LLM integration  Education Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications—not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,100,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Application Question(s): What is your Notice Period? What is your current and expected CTC? Work Location: In person

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

About Us: TheCorrelation is a brand name owned and operated by Sophos Knowledge Services (OPC) Private Limited. TheCorrelation is our official product/training division, and all employees working under TheCorrelation are legally employed by Sophos Knowledge Services. At TheCorrelation, we are passionate about leveraging data to drive smart business decisions. We’re looking for enthusiastic and detail-oriented individuals eager to kickstart their career in data analytics. Job Description: If you are passionate about Artificial Intelligence and Machine Learning. Join us to gain hands-on experience in data preprocessing, model development, and real-world applications of AI/ML. Walk-In Drive Details: Date: Saturday, 5th July 2025 Time: 11:00 AM to 5:00 PM Location: TheCorrelation, Plot No. 275, PU4, Scheme No. 54, Indore (M.P.) Eligibility: Freshers and recent graduates are welcome Basic knowledge of Python, ML algorithms, and data handling preferred Bachelor's degree in Computer Science, Engineering, or related field (or pursuing) Bring your resume and walk in! Interested candidates are encouraged to walk in with confidence and curiosity! For any queries, feel free to contact us at +91 74153 46333. Job Types: Full-time, Fresher, Internship Contract length: 3 months Pay: ₹5,000.00 - ₹8,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Schedule: Day shift Education: Bachelor's (Preferred) Location: Vijay Nagar, Indore, Madhya Pradesh (Preferred) Work Location: In person

About Jivi Jivi is an AI-powered healthcare platform designed to transform primary healthcare for 8 billion people. Jivi is building an AI doctor to help consumers and medical professionals globally. Founded by Ankur Jain , GV Sanjay Reddy , and Andrew Ng ’s AI Fund , Jivi is built on a cutting-edge agentic AI platform. Its proprietary LLM model, Jivi MedX , has surpassed industry benchmarks, outperforming global LLM models in clinical reasonings. More than 120,000 people have already used Jivi from 50+ countries. Job Overview We are looking for a talented and driven AI Engineer / Data Scientist with expertise in AI and Machine Learning to join our innovative team. You will design and implement AI algorithms, work on machine learning models, and contribute to the core AI technology that drives our healthcare solutions. Responsible for analyzing large datasets, you'll extract meaningful insights to inform healthcare decisions and improve patient outcomes. Key Responsibilities Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset. Strong Analytical Skills: A keen analytical mind with the ability to extract actionable insights from complex datasets and a passion for applying AI to solve real-world challenges. AI/ML Model Development: Design, develop, and deploy machine learning models and algorithms to address various business challenges. Data Analysis and Preprocessing: Perform data collection, cleaning, preprocessing, and exploratory data analysis to ensure data quality and readiness for modeling. Feature Engineering: Identify and create relevant features to improve model accuracy and performance. Model Evaluation and Validation: Evaluate model performance using appropriate metrics and validate results through rigorous testing. Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver effective solutions. Research and Innovation: Stay up-to-date with the latest advancements in AI/ML and continuously explore new techniques and technologies to enhance our capabilities. Documentation: Document methodologies, processes, and results to ensure transparency and reproducibility. Team Player: Strong interpersonal and teamwork skills to collaborate effectively with multidisciplinary teams and contribute to a culture of innovation and excellence. Technical Skills Programming Skills: Strong proficiency in Python with familiarity in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Experience with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Extensive experience with Convolutional Neural Networks (CNNs), diffusion models, and transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: In-depth knowledge and experience with large language models (LLMs) and multimodal AI. Algorithmic Understanding: Strong understanding of a wide range of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications Work Experience: Minimum 3+ years of proven experience as AI researcher or similar. Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). Why Join Us? Work on cutting-edge AI-powered healthcare solutions that impact billions. Opportunity to lead and shape Jivi’s growth strategy in a high-growth, fast-paced environment. Competitive salary, performance-based incentives, and career growth opportunities. How to use Jivi? iOS app Android app WhatsApp Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

AI/ML ENgineer Hybrid(Pune) Full time Overview We are looking for a skilled AI/ML Engineer to join our team and contribute to the development and implementation of advanced artificial intelligence and machine learning models. The ideal candidate will have a strong background in AI/ML techniques, a passion for solving complex problems, and experience working with large datasets. Key Responsibilities Model Development and Deployment Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Optimize models for performance, scalability, and accuracy. Data Analysis and Preprocessing Collect, clean, and preprocess large datasets for training and evaluation. Perform exploratory data analysis to identify patterns and insights. Algorithm Selection and Implementation Select appropriate machine learning algorithms based on project requirements and data characteristics. Implement and fine-tune algorithms using frameworks such as TensorFlow, PyTorch, and scikit-learn. Research and Innovation Stay updated with the latest research and advancements in AI/ML technologies. Experiment with new techniques and approaches to improve existing models. Collaborative Development Work closely with data scientists, software engineers, and domain experts to integrate AI/ML solutions into products and services. Participate in code reviews, knowledge sharing, and collaborative problem-solving. Performance Monitoring and Maintenance Monitor the performance of deployed models and ensure their reliability and accuracy. Continuously update models to adapt to new data and changing requirements. Required Skills and Qualifications Education : Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Experience : 2+ years of experience in AI/ML engineering or a related role. Technical Skills : Proficiency in programming languages such as Python, R, and Java. Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, scikit-learn, and Keras. Strong understanding of statistical methods and data analysis techniques. Data Skills : Experience with data preprocessing, feature engineering, and model evaluation. Analytical Skills : Strong analytical and problem-solving abilities. Communication Skills : Excellent verbal and written communication skills. Collaboration : Ability to work effectively in a collaborative, team-oriented environment. Preferred Qualifications Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with big data technologies like Hadoop, Spark, and SQL. Knowledge of natural language processing (NLP) and computer vision techniques. Understanding of software development best practices, including version control and CI/CD pipelines. Job Type: Full-time Pay: ₹500,000.06 - ₹700,000.30 per year Benefits: Cell phone reimbursement Commuter assistance Flexible schedule Food provided Health insurance Internet reimbursement Leave encashment Life insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Application Question(s): what is your current ctc? what is your expected ctc? what is your notice period ? we are hiring for maharashtra candidate who can come to office for onsite interview and our office location is *une ? Location: Pune, Maharashtra (Required) Work Location: In person

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional Principal AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing and leading the designing, developing, and scaling novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. Responsibilities: Serve as the subject matter expert and lead developer for key GenAI technologies, encompassing various domains such as data pipelines, training and fine-tuning, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques. Play a leading hands-on role in all aspects of core GenAI research across the full stack of our GenAI platform. Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership. Participate in high-level technical decision making process within Articul8, contributing to technology assessment and roadmap planning. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Mentor and guide junior team members and help building a strong culture of rapid innovation Required Qualifications: Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field. Professional experience: 8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies. A strong background in parallel/distributed computing (preferably on the cloud). Proven track record of publications in top-tier conferences and journals. Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: PhD in Computer Science, Machine Learning (ML), or related technical fields. 8+ years of hands-on experience as an applied ML/AI researcher. Experience with cloud computing platforms such as AWS, Azure, or GCP. Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional AI Research Manager to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for overseeing the strategic direction, operational management, and hands-on implementation of research projects aimed at advancing our GenAI technologies. Responsibilities: Lead and contribute to the hands-on implementation of research projects, including coding and technical development. Collaborate with the team to design, develop, implement, and optimize GenAI models and algorithms. Participate in code reviews and provide technical guidance to team members. Oversee the execution of research projects from ideation to deployment, ensuring timely and quality delivery. Manage project budgets and resource allocation, ensuring efficient use of resources. Develop and implement the research strategy and roadmap that aligns with the company’s long-term goals. Provide strategic direction and oversight for research initiatives, ensuring alignment with business objectives. Collaborate with cross-functional teams, including product, engineering, and business development, to integrate research findings into product development. Build and maintain relationships with academic institutions and industry partners to foster research collaborations and knowledge sharing. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Hire, mentor, and develop a high-performing team of AI researchers and engineers. Foster a collaborative and innovative research culture, encouraging creativity and continuous learning. Required Qualifications: Education: MSc degree in Computer Science, Machine Learning (ML), or a related field. Professional experience: 8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies. A strong background in parallel/distributed computing (preferably on the cloud). Proven track record of publications in top-tier conferences and journals. Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: PhD in Computer Science, Machine Learning (ML), or related technical fields. 8+ years of hands-on experience as an applied ML/AI researcher 5+ years in a leadership role managing research teams. Experience with cloud computing platforms such as AWS, Azure, or GCP Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. Responsibilities: Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques. Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment. Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership. Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. Required Qualifications: Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher. Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud). Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. Preferred Qualifications: 4+ years of hands-on experience as an applied ML/AI researcher Experience with cloud computing platforms such as AWS, Azure, or GCP. Proven track record of publications in top-tier conferences and journals Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

Apply Before: 30-05-2025 Position: Data Engineer Location: Pune Experience: 0-1 Year CTC Details Position: Trainee/Intern Trainee: No stipend Intern: 15000 (10000 5000 (Food voucher)) Duration: 3/6 MONTHS PPO: 3.5 LPA 6 LPA (Performance Based) About The Role We are seeking enthusiastic AI candidates to work on cutting-edge AI projects in a fast-paced and innovative environment. This role provides hands-on experience in AI development, problem-solving, and collaboration with a team of experts. If you are passionate about artificial intelligence and eager to enhance your skills, this is the perfect opportunity for you. Key Responsibilities Develop and optimize AI/ML models for various applications. Work on NLP and On a Computer Vision project. Conduct data preprocessing, feature engineering, and model evaluation. Collaborate with the team to solve complex AI challenges. Stay updated with the latest AI advancements and research papers. Required Skills Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong problem-solving and analytical skills. Understanding of Machine Learning concepts and algorithms. Experience or knowledge in NLP or Computer Vision is a plus. Familiarity with data handling, preprocessing, and visualization techniques.

Job description Job Title: AI/ML Engineer (Mid-Level) Location: India Job Overview: We are seeking a talented AI Engineer to join our dynamic team, where you will play a key role in developing cutting-edge artificial intelligence solutions. This position offers the opportunity to leverage your expertise in machine learning, deep learning, and AI applications to deliver impactful solutions across diverse industries such as healthcare, retail, and telecom. This role offers an exciting opportunity to contribute to innovative AI solutions, driving value across multiple industries while growing within a supportive and forward-thinking team. Key Responsibilities: Model Implementation and Fine-Tuning: Customize and optimize pre-trained AI models to meet industry-specific requirements. Cloud-Based AI Services: Develop and deploy AI solutions using cloud platforms, with a focus on AWS Bedrock and Azure OpenAI. Model Optimization: Enhance AI models for superior performance, accuracy, and real-world applicability. Hallucination Reduction: Apply advanced techniques to reduce AI hallucination and improve model reliability and trustworthiness. Vector Databases: Utilize vector databases like PostgreSQL with pgvector for efficient similarity search and AI-driven information retrieval. Cross-Functional Collaboration: Work closely with multidisciplinary teams to integrate AI capabilities into products and services seamlessly. Qualifications: Educational Background: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field. Experience: Minimum of 3+ years of hands-on experience in AI/ML development. Programming Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Cloud Expertise: Demonstrated experience with cloud-based AI platforms such as AWS Bedrock and Azure OpenAI. Vector Database Knowledge: Familiarity with vector databases and techniques for similarity search. AI/ML Expertise: Comprehensive understanding of AI/ML algorithms, architectures, and best practices. Data Proficiency: Skills in data preprocessing, feature engineering, and model evaluation. Soft Skills: Strong problem-solving abilities and excellent communication skills. Preferred Skills: Experience with deploying scalable AI solutions in production environments. Knowledge of emerging AI trends and tools to enhance solution development. Ability to work in agile development teams and adapt to evolving project requirements. Why Join Our US? Opportunity to work with a globally recognized technology leader. Exposure to cutting-edge tools, technologies, and challenging projects. Collaborative and innovative work environment. Exceptional benefits and a strong focus on career growth.

Data Scientist Experience range: 3+ years Location: CloudLex Pune Office (In-person, Monday to Friday, 9:30 AM – 6:30 PM) Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

Job Title : AI Developer Location : Motera, Ahmedabad, Gujarat Work Type : [Office-based, Remote, or Hybrid] Job Summary We are seeking a skilled and innovative AI Developer to join our team. The ideal candidate will design, develop, and deploy AI-based solutions, harnessing the latest advancements in artificial intelligence, machine learning, and deep learning. The role involves collaborating with cross-functional teams to create intelligent systems that solve real-world problems. Key Responsibilities Design and implement machine learning models and algorithms to address business challenges. Develop, train, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Integrate AI models into production-ready systems, ensuring scalability and performance. Conduct data preprocessing, feature engineering, and exploratory data analysis. Collaborate with software engineers and data scientists to create end-to-end AI pipelines. Optimize existing AI systems for accuracy, speed, and reliability. Stay updated on the latest AI research and technologies to incorporate best practices. Develop APIs and interfaces for AI systems to interact with other applications. Perform rigorous testing and validation of models to ensure robustness. Qualifications and Skills Required: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Proficiency in programming languages such as Python, Java, or R. Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of neural networks, NLP, computer vision, and reinforcement learning. Familiarity with data visualization tools and techniques. Excellent problem-solving and analytical skills. Preferred: Experience with MLOps and deploying AI models in production environments. Knowledge of big data technologies like Hadoop, Spark, or Apache Kafka. Certifications in AI/ML or related technologies. Experience in robotics, autonomous systems, or AI ethics. Key Attributes Strong communication and collaboration skills. A passion for innovation and staying ahead in the AI domain. Ability to work independently and as part of a team. Perks and Benefits Competitive salary and performance-based incentives. Flexible working hours. Opportunities for continuous learning and career growth. Access to cutting-edge tools and technologies. Job Types: Full-time, Part-time, Permanent, Fresher, Contractual / Temporary, Internship Pay: ₹8,000.00 - ₹15,000.00 per month Expected hours: 30 per week Location Type: In-person Schedule: Day shift Fixed shift Morning shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) JavaScript: 1 year (Preferred) Work Location: In person

Job Title: Voice Processing Specialist Location: Remote /Jaipur Job Type: Full-time / Contract Experience: 3+ years expertise in voice cloning, transformation, and synthesis technologies Job Summary We are seeking a talented and motivated Voice Processing Specialist to join our team and lead the development of innovative voice technologies. The ideal candidate will have a deep understanding of speech synthesis, voice cloning, and transformation techniques. You will play a critical role in designing, implementing, and deploying state-of-the-art voice models that enhance naturalness, personalization, and flexibility of speech in AI-powered applications. This role is perfect for someone passionate about advancing human-computer voice interaction and creating lifelike, adaptive voice systems. Key Responsibilities Design, develop, and optimize advanced deep learning models for voice cloning, text-to-speech (TTS), voice conversion, and real-time voice transformation. Implement speaker embedding and voice identity preservation techniques to support accurate and high-fidelity voice replication. Work with large-scale and diverse audio datasets, including preprocessing, segmentation, normalization, and data augmentation to improve model generalization and robustness. Collaborate closely with data scientists, ML engineers, and product teams to integrate developed voice models into production pipelines. Fine-tune neural vocoders and synthesis architectures for better voice naturalness and emotional range. Stay current with the latest advancements in speech processing, AI voice synthesis, and deep generative models through academic literature and open-source projects. Contribute to the development of tools and APIs for deploying models on cloud and edge environments with high efficiency and low latency. Required Skills Strong understanding of speech signal processing, speech synthesis, and automatic speech recognition (ASR) systems. Hands-on experience with voice cloning frameworks such as Descript Overdub, Coqui TTS, SV2TTS, Tacotron, FastSpeech, or similar. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. Experience working with speech libraries and toolkits such as ESPnet, Kaldi, Librosa, or SpeechBrain. In-depth knowledge of mel spectrograms, vocoder architectures (e.g., WaveNet, HiFi-GAN, WaveGlow), and their role in speech synthesis. Familiarity with REST APIs, model deployment, and cloud-based inference systems using platforms like AWS, Azure, or GCP. Ability to optimize models for performance in real-time or low-latency environments. Preferred Qualifications Experience in real-time voice transformation, including pitch shifting, timing modification, or emotion modulation. Exposure to emotion-aware speech synthesis, multilingual voice models, or prosody modeling. Design, develop, and optimize advanced deep learning models for voice cloning, text-to-speech (TTS), voice conversion, and real-time voice transformation Background in audio DSP (Digital Signal Processing) and speech analysis techniques. Previous contributions to open-source speech AI projects or publications in relevant domains. Why Join Us You will be part of a fast-moving, collaborative team working at the forefront of voice AI innovation. This role offers the opportunity to make a significant impact on products that reach millions of users, helping to shape the future of interactive voice experiences. Skills: automatic speech recognition (asr),vocoder architectures,voice cloning,voice processing,data,real-time voice transformation,speech synthesis,pytorch,tensorflow,voice conversion,speech signal processing,audio dsp,rest apis,python,cloud deployment,transformation,mel spectrograms,deep learning

Job Title: AI Image Processing Specialist Location: Remote /Jaipur Job Type: Full-time / Contract Experience: 3+ years in computer vision, with medical imaging a plus Job Summary We are seeking a highly skilled and detail-oriented AI Image Processing Specialist to join our team, with a strong focus on medical imaging , computer vision , and deep learning . In this role, you will be responsible for developing and optimizing scalable image processing pipelines tailored for diagnostic, radiological, and clinical applications. Your work will directly contribute to advancing AI capabilities in healthcare by enabling accurate, efficient, and compliant medical data analysis. You will collaborate with data scientists, software engineers, and healthcare professionals to build cutting-edge AI solutions with real-world impact. Key Responsibilities Design, develop, and maintain robust image preprocessing pipelines to handle various medical imaging formats such as DICOM, NIfTI, and JPEG2000. Build automated, containerized, and scalable computer vision workflows suitable for high-throughput medical imaging analysis. Implement and fine-tune models for core vision tasks, including image segmentation, classification, object detection, and landmark detection using deep learning techniques. Ensure that all data handling, processing, and model training pipelines adhere to regulatory guidelines such as HIPAA, GDPR, and FDA/CE requirements. Optimize performance across pipeline stages — including data augmentation, normalization, contrast adjustment, and image registration — to ensure consistent model accuracy. Integrate annotation workflows using tools such as CVAT, Labelbox, or SuperAnnotate and implement strategies for active learning and semi-supervised annotation. Manage reproducibility and version control across datasets and model artifacts using tools like DVC, MLFlow, and Airflow. Required Skills Strong experience with Python and image processing libraries such as OpenCV, scikit-image, and SimpleITK. Proficiency in deep learning frameworks like TensorFlow or PyTorch, including experience with model architectures like U-Net, ResNet, or YOLO adapted for medical applications. Deep understanding of medical imaging formats, preprocessing techniques (e.g., windowing, denoising, bias field correction), and challenges specific to healthcare datasets. Experience working with computer vision tasks such as semantic segmentation, instance segmentation, object localization, and detection. Familiarity with annotation platforms, data curation workflows, and techniques for managing large annotated datasets. Experience with pipeline orchestration, containerization (Docker), and reproducibility tools such as Airflow, DVC, or MLFlow. Preferred Qualifications Experience with domain-specific imaging datasets in radiology, pathology, dermatology, or ophthalmology. Understanding of clinical compliance frameworks such as FDA clearance for software as a medical device (SaMD) or CE marking in the EU. Exposure to multi-modal data fusion, combining imaging with EHR, genomics, or lab data for holistic model development. Experience with pipeline orchestration, containerization (Docker), and reproducibility tools such as Airflow, DVC, or MLFlow. Ensure that all data handling, processing, and model training pipelines adhere to regulatory guidelines such as HIPAA, GDPR, and FDA/CE requirements. Why Join Us Be part of a forward-thinking team shaping the future of AI in healthcare. You’ll work on impactful projects that improve patient outcomes, streamline diagnostics, and enhance clinical decision-making. We offer a collaborative environment, opportunities for innovation, and a chance to work at the cutting edge of AI-driven healthcare. Skills: docker,u-net,mlflow,containerization,image segmentation,simpleitk,yolo,image processing,computer vision,medical imaging,object detection,tensorflow,opencv,pytorch,image preprocessing,resnet,python,dvc,airflow,scikit-image,annotation workflows

Job Summary: The AVP will be responsible for driving the strategic vision, development, and implementation of AI/ML and Generative AI technologies within our platform. This role requires a deep understanding of AI/ML, experience with banking projects is preferred with a proven track record of leading technical teams. Key Responsibilities: Leadership and Strategy: Define and drive the AI/ML and GenAI strategy in alignment with the company's overall vision and business goals. Lead and mentor a team of AI/ML engineers and data scientists, fostering a culture of innovation and excellence. Collaborate with cross-functional teams to integrate AI/ML and GenAI capabilities into our LCNC and Pro Code platform. Technical Expertise: Oversee the design, development, and deployment of AI/ML models and GenAI technologies to solve complex business problems. Ensure the scalability, reliability, and performance of AI/ML solutions. Stay abreast of the latest advancements in AI/ML and GenAI technologies and evaluate their potential impact on our platform. Project Management: Manage multiple AI/ML projects simultaneously, ensuring they are delivered on time, within scope, and within budget. Develop and maintain project plans, track progress, and report on project status to senior management. Stakeholder Engagement: Work closely with internal stakeholders, including product management, engineering, and business development teams, to understand their needs and provide AI/ML solutions. Engage with external stakeholders, such as clients and partners, to demonstrate the value of our AI/ML capabilities. Compliance and Risk Management: Ensure that all AI/ML initiatives comply with relevant regulations and industry standards. Identify and mitigate risks associated with AI/ML implementations. Qualification & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Ph.D. is a plus. 10 to 15 years of experience in AI/ML technologies, with a significant portion spent in the banking or financial services industry. Required Skills: Proven leadership experience, including leading technical teams and managing complex projects. Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies. Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others. Proficient in programming languages such as Python, R, and SQL. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance. Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads. Understanding of ethical AI principles and data privacy regulations. Excellent problem-solving skills and the ability to think strategically and analytically. Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders. Preferred Skills: Experience with Low-Code/No-Code platforms. Knowledge of banking regulations and compliance requirements. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). About Pennant: Pennant Technologies is an agile, innovative financial technology company that powers the lending operations of global banks and financial institutions - HDFC, Bajaj Finserve, LIC HFL, Godrej HFL, RAK Bank, QNB to name a few. Its suite of future ready lending products and solutions offer banks composable features and scalable capabilities to deliver differentiated loan origination, servicing and collections experiences for their customers. Trusted by leading banks and financial institutions in Asia, Pennant’s award-winning lending platform has managed more than 10 Million loans and facilitates 50 Million loan transactions per year. Pennant is HQ in Hyderabad and have offices and/ business operations in India, ME, Saudi, Australia, Philippines and UK . We are aggressively expanding across the geographies and adding to our 450+ workforce, spread across multiple locations. Visit us at http://pennanttech.com Growth Opportunity: Banking is the biggest consumer of technology, and the share is simply growing. Banks generate maximum profits out of Lending operations hence it’s imperative for them to ensure they use the right technologies right from the customer onboarding, servicing till retiring the end customers. In the past few years FI’s have not been able to refresh lending tech stack and that’s leading to challenges, higher operational cost and customer dissatisfaction. Stupendous growth in lending activities across the segments, markets and LOB’s has created once in a decade business opportunity for Pennant. Do you want to be part of our growth story?

Job Requirements Build , train, and implement Python machine learning models for diverse applications by utilizing Python's vast libraries and frameworks, including TensorFlow, PyTorch, and scikit-learn, to develop strong and effective AI solutions. Work Experience Proficiency in python and various ML libraries like TensorFlow, Pytorch, Numpy, Pandas etc. Knowledge of Object-Oriented Analysis and Design, Software Design Patterns and Java coding principles Good understanding of ML and deep learning techniques and algorithms. Knowledge on MLOps, DevOps and Cloud Platforms like AWS SageMaker would be good to have. Experience with Elasticsearch for efficient data indexing, search, and retrieval. Data Handling techniques: Cleaning and preprocessing, knowledge of databases and DB integration is good to have