118 Gensim Jobs - Page 3

Title: Senior Data Scientist (NLP) Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transforme...

Job Description Role: Sr. Machine Learning Engineer/Lead Location: Hyderabad,INDIA [Hybrid] About Company: Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, and Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Au...

Job Description Role: Sr. Machine Learning Engineer/Lead Location: Hyderabad,INDIA [Hybrid] About Company: Auditoria.AI is the leader in agentic AI solutions for corporate finance that automate business processes to accelerate finance operations and cash performance. Auditoria.AI executes mundane tasks while automating complex business functions in the Office of the CFO, redefining enterprise AI by combining its proprietary specialized language model with multi-model support for leading large language models (LLMs) in production. Auditoria.AI seamlessly integrates GPTs from OpenAI, Azure, LLaMa, and Google Gemini, ensuring finance teams are served best-in-class generative AI capabilities. Au...

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity . We pride ourselves on being a trusted partner for customers navi...

Role Description: This is a full-time remote role for a Data Scientist at Bideye. Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/ AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Requirements Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 1-2 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Experience in NLP tools such as ...

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity. We pride ourselves on being a trusted partner for customers navig...

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role 4-5 years of experiencehand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good, applied statistics skills, such as distributions, statistic...

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity . We pride ourselves on being a trusted partner for customers navi...

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Our approach is informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. Your Role: - You should have 4-5 years of experience with hands-on experience in data science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP, and computer vision, preferably in th...

About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability. With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity . We pride ourselves on being a trusted partner for customers navi...

Miimansa is a health tech startup at the forefront of AI and machine learning applications in life sciences and healthcare. We digitise clinical workflows with the help of modern AI tooling, to achieve improved clinical and financial outcomes for drug developers, patients, providers & payers. NLP scientist We are seeking talented and motivated NLP Data Scientists to join our AI/ML team. You will be responsible for designing, developing, and deploying state-of-the-art natural language processing models and tools. Your work will contribute directly to products and solutions that extract, structure, and generate insights from vast and complex text data sources. You will follow advancements in t...

The role of AI Engineer with expertise in Natural Language Processing (NLP) in Bangalore involves developing and implementing cutting-edge NLP models to address complex business challenges. This full-time position requires a Bachelor's/Master's degree in Computer Science, Engineering, or related field along with a minimum of 2 years of experience in NLP. As the AI Engineer, you will be responsible for building and maintaining NLP models for diverse business applications, implementing machine learning algorithms for NLP tasks, and designing scalable systems for processing and analyzing extensive datasets. Collaboration with cross-functional teams to identify and resolve complex business issue...

Company: NxtHyre Website: Visit Website Business Type: Startup Company Type: Product Business Model: B2B Funding Stage: Series B Industry: Artificial Intelligence Salary Range: ₹ 35-55 Lacs PA Job Description: This is Permanent role with a Valued client of NxtHyre in Fintech. About Client: Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures. Job Description: Looking for strong candidates with a passion for participating in our mission. Areas of responsibilities (subject t...

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets. Job Requirement Bachelor’s or Master’s degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, ...

Bold is seeking for newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distr...

Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustn...

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning ...

Title: Senior Data Scientist (NLP) Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelor's/Master's degree in Computer Science, Engineering, or a related technical field with minimum 4 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimisation of the Transformer arch...

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources levera...

Qualifications Required Skills: Python programming expertise, including data structures, object-oriented programming, recursion, generators, iterators, decorators, and familiarity with regular expressions. Working knowledge and experience with deep learning frameworks such as PyTorch or TensorFlow, including embedding representations. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing and querying. Proficiency in Docker and creating Dockerfiles. Experience in REST API and JSON structures, utilizing Python packages like FastAPI. Skill in working with Git operations. Proficiency in shell scripting. Expertise in using PyCharm for development, debugging,...

Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. Strong experience in Python and production system development. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing, querying. Familiarity with Docker, Dockerfile. Familiarity with REST API, JSON structure. Python packages like FastAPI. Familiarity with git operations. Familiarity with shell scripting. Familiarity with PyCharm for development, debugging, profiling. Experience with Kubernetes. Experience with...

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience...

You will join the Data Science team at BOLD, where you will utilize your analytical skills and business acumen to provide valuable insights to the Product and Management teams. Your primary responsibility will involve leveraging extensive user data sets to drive product development, enhance current products, and identify relationships within the data to develop new products. The Data Science department at BOLD focuses on discovering patterns and trends in datasets, creating predictive algorithms and data models, improving product quality using machine learning techniques, providing insights to other teams and top management, and utilizing data tools like Python and SQL. This team collaborate...

Programming Languages: Python, Scala Machine Learning frameworks: Scikit Learn, Xgboost, Tensorflow, Keras, PyTorch, Spacy, Gensim, Stanford NLP, NLTK, Open CV, Spark MLlib, . Machine Learning Algorithms experience good to have Scheduling experience: Airflow Big Data/ Streaming/ Queues: Apache Spark, Apache Nifi, Apache Kafka, RabbitMQ any one of them Databases: MySQL, Mongo/Redis/Dynamo DB, Hive Source Control: GIT Cloud: AWS Build and Deployment: Jenkins, Docker, Docker Swarm, Kubernetes. BI tool: Quicksight(preferred) else any BI tool (Must have)

Noida, Uttar Pradesh, India Data Engineering & Analytics BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or prod...