800 Preprocess Jobs - Page 25

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 2nd June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 2nd June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 2nd June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 2nd June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 2nd June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Job Summary: We are seeking a Senior Data Scientist with expertise in Generative AI and Natural Language Processing (NLP) to join our dynamic team. The ideal candidate will have at least 3years of experience in applying advanced Data science techniques to solve complex problems and drive innovation. You will work on cutting-edge projects that leverage AI to enhance our products and services, collaborating with cross-functional teams to deliver impactful solutions. What You'll Be Working On: 1. Develop and implement state-of-the-art generative AI models, focusing on NLP applications. 2. Analyze and preprocess large datasets to extract meaningful insights and improve model performance. 3. Collaborate with product managers, engineers, and other stakeholders to define project requirements and deliverables. 4. Design and conduct experiments to validate models, analyze results, and refine algorithms. 5. Mentor junior data scientists and contribute to building a collaborative team culture. 6. Stay updated with the latest advancements in AI and NLP, applying best practices and innovative approaches to your work. 7. Communicate complex technical concepts to non-technical stakeholders effectively. 8. Strong Python skills and hands-on experience with LangChain, LangGraph, and OpenAI/Anthropic APIs Qualifications: 1. Minimum of 3years of experience in data science, with a strong focus on Generative AI and NLP. 2. Proficiency in programming languages such as Python, and experience with relevant libraries. 3. Strong understanding of machine learning algorithms, deep learning architectures, and NLP techniques. 4. Excellent problem-solving skills and a strong analytical mindset. 5. Ability to work independently and collaboratively in a fast-paced environment. 6. Strong communication skills, with the ability to convey complex ideas to diverse audiences. Send your resume to Vibha@xaigi.tech Show more Show less

Job Title: AI/ML Developer (5 Years Experience) Location : Remote Job Type : Full-time Experience:5 Year Job Summary: We are looking for an experienced AI/ML Developer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate should have strong knowledge of machine learning algorithms, data preprocessing, model evaluation, and experience with production-level ML pipelines. Key Responsibilities Model Development : Design, develop, train, and optimize machine learning and deep learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. Data Engineering : Work with data scientists and engineers to preprocess, clean, and transform structured and unstructured datasets. ML Pipelines : Build and maintain scalable ML pipelines using tools such as MLflow, Kubeflow, Airflow, or SageMaker. Deployment : Deploy ML models into production using REST APIs, containers (Docker), or cloud services (AWS/GCP/Azure). Monitoring and Maintenance : Monitor model performance and implement retraining pipelines or drift detection techniques. Collaboration : Work cross-functionally with data scientists, software engineers, and product managers to integrate AI capabilities into applications. Research and Innovation : Stay current with the latest advancements in AI/ML and recommend new techniques or tools where applicable. Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 5 years of experience in AI/ML development. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Strong understanding of statistics, data structures, and ML/DL algorithms. Experience with cloud platforms (AWS/GCP/Azure) and deploying ML models in production. Experience with CI/CD tools and containerization (Docker, Kubernetes). Familiarity with SQL and NoSQL databases. Excellent problem-solving and communication skills. Preferred Qualifications Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK). Knowledge of MLOps best practices and tools. Experience with version control systems like Git. Familiarity with big data technologies (Spark, Hadoop). Contributions to open-source AI/ML projects or publications in relevant fields. Show more Show less

Responsibilities Research, design, develop, and test Python code. Collaborate with the Product and Data Science teams to define core AI/ML platform features. Understand business requirements, functional specifications, and research pre-trained models that work on real-world applications. Develop well-developed analytical and investigative skills. Maintain a strong desire to explore new technologies and knowledge at the architecture level. Requirements Design, develop, and deploy AI/ML models with a focus on Large Language Models (LLMs). Utilize NLP techniques, LangChain, LangFlow, and LLMs to develop conversational chatbots and language models. Have good knowledge of deploying LLM models in cloud environments (e.g , AWS, Azure, GCP) and on-premises infrastructure. Demonstrate proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. Desired Skills Expertise in training Large Language Models (LLMs) and implementing workflows based on Pretraining, Fine-tuning LLMs & Retrieval-Augmented Generation (RAG). Fine-tune and optimize pre-trained LLMs for specific use cases and domain-specific tasks. Develop APIs, pipelines, and frameworks for seamless integration of LLMs into applications. Conduct performance evaluations of models and refine them for accuracy, latency, and scalability. Preprocess, clean, and analyze large datasets to train and fine-tune models. Education Bachelor's or Master's degree in Computer Science or related field. This is an exciting opportunity for an experienced AI/ML developer to join our team at Bigstep Technologies and contribute to the development of innovative AI solutions (ref:hirist.tech) Show more Show less

Description Participation in user interviews to understand technical and customer needs. Developing front end website architecture based on Palantir Foundry. Designing user interactions on web pages within Palantir Foundry Workshop. Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager. Creating servers, databases, and datasets for functionality as needed. Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook). Ensuring conformance with security protocols and markings on sensitive data sets. Ensuring responsiveness of web applications developed on low code/no code solutions. Ensuring cross-platform optimization for mobile phones. Seeing through projects from conception to finished product. Meeting both technical and customer needs. Staying abreast of developments in web applications and programming languages. Lead other engineers to develop features on your projects. Develop and train machine learning models. Analyze and preprocess large datasets. Optimize algorithms for performance and scalability. Deploy AI models into production. Collaborate on AI-powered features for applications. Qualifications Bachelor’s degree in computer science, Management Information Systems, Engineering or related field and 4 years Required Strong knowledge in programming languages and coding principles and procedures. Strong knowledge in web development framework. Palantir Foundry experience preferred. Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript. Familiarity with JavaScript libraries such as Lodash, Math.js, Moment, Numeral, and es6-shim. Proficiency with server-side languages for structured data processing; Python, PySpark, Java, Apache Spark, and SparkSQL. Proficiency with AI/ML frameworks, data analysis, and deep learning. Familiarity with database technology such as MySQL, Oracle, MongoDB, and others preferred. Familiarity with analytical tools for business intelligence and data science such as Power BI, Jupyter, and R Studio preferred. Strong organizational and project management skills preferred. Team leadership experience preferred. Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills. Excellent verbal and written communication skills. Ability to work methodically and analytically in a quantitative problem-solving environment. Effective written and oral communication skills. Demonstrated critical thinking skills. Strong knowledge in Microsoft Office Suite (Word, Excel, and PPT). Ability to obtain applicable certifications. Job Information Technology Primary Location India-Maharashtra-Mumbai Schedule: Full-time Travel: No Req ID: 250771 Job Hire Type Experienced Not Applicable #BMI N/A Show more Show less

Position : Python Developer (AI/ML Specialist) About the Role Are you passionate about Python and eager to apply it in cutting-edge AI/ML projects? We are looking for a Python Developer with a focus on AI and ML to join our dynamic team. You will be responsible for developing Python-based AI/ML models, building scalable pipelines, and deploying intelligent systems that solve complex real-world problems. Key Responsibilities Python-Centric Model Development : Design and implement AI/ML models in Python using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Fine-tune Python-based pre-trained models for specific tasks. Write clean, modular, and well-documented Python code for AI/ML workflows. Data Handling with Python : Use Python tools like Pandas, NumPy, and PySpark to preprocess, clean, and manipulate large datasets. Develop data pipelines for efficient model training and evaluation. Integration & Deployment : Create Python-based APIs to integrate AI/ML models into web or enterprise applications using Flask, FastAPI, or Django. Deploy models with Python tools like Docker and monitor them using Python scripts and libraries. Performance Optimization : Leverage Python optimization techniques to improve model efficiency. Use Python profiling tools to debug and optimize code performance. Research & Collaboration : Stay updated on Python advancements and AI/ML frameworks. Collaborate with data scientists, engineers, and stakeholders to build Python-driven solutions. Qualifications & Skills Education : Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Python Expertise : Proficiency in Python programming with a deep understanding of its ecosystem. Experience with Python AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Strong familiarity with Python libraries for data analysis (Pandas, NumPy) and visualization (Matplotlib, Seaborn, Plotly). AI/ML Knowledge : Solid understanding of supervised, unsupervised, and deep learning techniques. Hands-on experience with Python implementations of ML algorithms. Tools & Platforms : Experience with version control tools like Git. Knowledge of deploying Python-based ML models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Soft Skills : Strong problem-solving abilities and a proactive mindset. Excellent communication skills to convey technical ideas effectively. Preferred Experience Proficiency in Python-based Big Data tools like PySpark. Familiarity with Python frameworks for Natural Language Processing (NLP), such as spaCy or NLTK. Knowledge of MLOps tools for managing Python-based pipelines. Why Join Us? Work on exciting Python-driven AI/ML projects that make an impact. Grow in a collaborative environment where Python enthusiasts thrive. Competitive salary, benefits, and a culture of learning. Opportunity to lead with Python in cutting-edge AI technologies. How to Apply Submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com We’re excited to have you join our team and shape the future of AI with Python! Job Type: Contractual / Temporary Contract length: 6 months Work Location: In person

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : MySQL,Python,Bigdata,Data Science,Data Analytics,Data Analysis,Cloud,AWS,Business Intelligence (BI),Statistical Modeling,R,Big Data Platforms,Tableau Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner Roles and Responsibilities: Collect, clean, and analyze data from various sources. Assist in creating dashboards, reports, and visualizations. We are looking for a highly motivated Data Analyst Intern to join our team remotely. As a Data Analyst Intern, you will work closely with our data team to collect, clean, analyze, and visualize data to provide actionable insights. This internship is an excellent opportunity to gain hands-on experience in data analytics while working on real-world projects. Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Requirement: Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Strong analytical and problem-solving skills. Proficiency in Excel and SQL for data analysis. Experience with data visualization tools like Power BI, Tableau, or Google Data Studio. Basic knowledge of Python or R for data analysis is a plus. Understanding of statistical methods and data modeling concepts. Strong attention to detail and ability to work independently. Excellent communication skills to present insights clearly. Preferred Skills: Experience with big data technologies (Google BigQuery, AWS, etc.). Familiarity with machine learning techniques and predictive modeling. Knowledge of business intelligence (BI) tools and reporting frameworks. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 1st June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 1st June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 1st June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 1st June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Key Responsibilities: Design, develop, and deploy AI models and algorithms to solve real-world problems Work with large datasets to preprocess, analyze, and extract meaningful patterns Collaborate with cross-functional teams to integrate AI solutions into products and services Implement machine learning and deep learning models to optimize performance and outcomes Continuously research and apply the latest AI techniques and advancements Monitor and evaluate model performance, making improvements as needed Ensure AI solutions are scalable, secure, and aligned with business goals Requirements: 3–5+ years of experience in AI, machine learning, or data science roles Proficiency in programming languages like Python, R, or Java Strong knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with data preprocessing, feature engineering, and model evaluation Solid understanding of deep learning, NLP, or computer vision concepts Excellent problem-solving and analytical skills Ability to communicate complex ideas clearly and work collaboratively in a remote environment Preferred Qualifications: Experience with cloud-based AI services (AWS, Azure, GCP) Familiarity with MLOps practices and deployment pipelines Publications or contributions to AI/ML communities Advanced degree in Computer Science, AI, Data Science, or related fields What We Offer: Competitive salary and benefits Flexible remote work setup Opportunity to work on impactful projects with innovative AI solutions A collaborative team culture that supports growth and learning Show more Show less

Job Title: AI/ML Engineer Location: Delhi, Arjan Garh Job Type: Full-Time Immediate Joiners Required About Us: Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning. Key Responsibilities Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems. Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance. Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities. Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality. Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies. Required Qualifications Education: B.tech or M.tech or MCA or Bachelor’s or master's degree in Artificial intelligence, computer science or Data Analyst or related fields. Experience: 2 years’ Experience in AI/ML development, with a proven track record of deploying AI solutions in a production environment. IMMEDIATE JOINERS REQUIRED Technical Skills Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras). Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP). Experience in integrating AI based solutions with web frameworks like Django, Flask. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team. Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment. Preferred Qualifications Experience with reinforcement learning, deep learning, or computer vision. Contributions to open-source AI projects or published research in AI/ML. Experience with big data technologies (e.g., Hadoop, Spark). What We Offer Competitive salary and benefits package. Opportunities for professional growth and career advancement. A collaborative and innovative work environment. Flexible working hours and remote work options. How To Apply https://www.linkedin.com/in/preeti-bisht-1633b1263/ Mention current Notice, Current CTC and Expected CTC Skills:- Django, Machine Learning (ML), Deep Learning, PyTorch, TensorFlow, Artificial Intelligence (AI) and Keras Show more Show less

Data is now more important than ever, and the information distilled from it is crucial to making meaningful decisions. GeoIQ is a product developed by data scientists for data scientists. We obtain, visualize, and analyze data from heterogeneous sources to build smarter variables that aid decision making. As a part of the data science team, you will be responsible for building predictive models and day-to-day analysis for our clients, building algorithms on the data collected from hundreds of sources to build location-defining attributes. Responsibilities As a Data Scientist at GeoIQ, you will play a crucial role in extracting valuable insights from vast and complex datasets to support our hyperlocal location AI platform and enable businesses to make precise and data-driven decisions. Collaborate with cross-functional teams to understand business requirements and define data science project objectives. Collect, clean, and preprocess large-scale datasets from diverse sources to ensure data quality and suitability for analysis. Develop and implement machine learning algorithms and predictive models to solve business problems and optimize decision-making processes. Conduct in-depth data analysis, exploratory data analysis, and statistical hypothesis testing to identify patterns, trends, and insights. Use advanced statistical techniques and mathematical modeling to uncover relationships between variables and predict outcomes. Create and maintain data pipelines and automation processes for efficient data ingestion, transformation, and storage. Build and deploy data-driven dashboards, visualizations, and interactive reports to communicate findings to stakeholders effectively. Continuously monitor model performance, conduct A/B testing, and fine-tune models to improve accuracy and efficiency. Collaborate with software engineers to integrate machine learning models into production systems. Requirements Proficient in Python. Work experience 2+ years. Prior experience with building ML models. Prior experience with SQL. Knowledge of statistical techniques. Experience with working on Spatial Data will be an added advantage. This job was posted by Saurav Mehta from GeoIQ. Show more Show less

Area(s) of responsibility Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs. Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Experience on Marklogic is good to have in it Show more Show less

Country/Region: IN Requisition ID: 25985 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Technical Lead-App Development Description: Area(s) of responsibility Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs. Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Experience on Marklogic is good to have in it

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less