Average salary: Rs247,855 /yearly
More stats ...team. The perfect fit will be well-versed in ML, NLP, and deep learning, with expertise in creating custom algorithms. Experience with machine translation projects and familiarity with NLP and MT techniques like NMT and transformer architecture is highly preferred.
Key...
...products and services to enhance data and analytical capabilities of our clients by leveraging the latest technology stack in AI and machine learning. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered...
Rs 40 lakh p.a.
...Company Overview: We are the pioneers of the world's first cloud AI platform, dedicated to managing every facet of machine and deep learning on an enterprise scale. Our platform excels in delivering an end-to-end autonomous AI service, specifically tailored for repeatable...
CloudHire, a leading remote employee provider in the information technology and services industry, is seeking a highly skilled Machine Learning Engineer to join our dynamic team. At CloudHire, we connect businesses with the top 2% of global talent to provide vetted, time-flexible...
...We are seeking a Machine Learning Engineer (MLE) who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong foundation in machine learning, data...
...JOB DESCRIPTION
Position: Data Scientist/Machine Learning Engineer
Location: Remote
Notice Period: 10 to 15 days
Experience: 5 years
About Us
We are a forward-thinking company committed to leveraging the power of data and machine learning to drive innovation...
...Bot Campus AI Learning Solutions Pvt Ltd is an innovative EdTech company specializing in online education in Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing. Our mission is to empower professionals with cutting-edge skills and practical knowledge...
Are you passionate about pushing the boundaries of AI and NLP technology? We're seeking a talented Senior Machine Learning Engineer to join our team and drive innovation in conversational AI systems.Key Responsibilities :- Develop and deploy cutting-edge NLP models using Gen...
...Title: Machine Learning Engineer/Data Scientist 100% REMOTE
Job Description:
QUALIFICATIONS (Education/Training, Experience and Certifications)
~ Bachelor's or master’s degree in mathematics, Statistics, Computer Science, Data Science, AI, Machine Learning, or...
...Lean manufacturing and 6S initiatives.
Adherence to Production SOP and Quality standards.
Proficient in VMC, HMC, & other CNC Machine Programming & Operations.
Hands-on experience in Special process Machining.
Complete employee reviews on time and provide proper...
...right way, we'll equip you to take your future into your own hands and play a leading role in our story.
Job Description
As a Machine Learning Engineer you will have following key accountabilities:
Design, develop, test, deploy, maintain and enhance Machine...
...product is our AI headshots product, which is used by thousands of job seekers who need affordable new LinkedIn headshots:
Senior Machine Learning Engineer
We are looking for an experienced Senior Machine Learning Engineer to join our team. The ideal candidate should...
...Conduct data preprocessing, feature engineering, and model training to optimize NLP performance.- Collaborate with data scientists and machine learning engineers to integrate NLP components into end-to-end data pipelines.- Continuously evaluate and improve NLP models by...
...discussion and figure out how we can make this work. Excited? So are we, let’s connect!
Qualifications
~10+ years of experience in Machine Learning Developer role or similar
~ Proficiency in Python for Data Science, including the ability to apply Machine Learning...
...Summary: We are looking for a highly skilled and experienced Lead ML/AI Specialist. The ideal candidate will have a strong background in Machine Learning, Deep Learning, and AI.
Key Responsibilities:
Develop and implement advanced AI solutions for a range of...
...analytical techniques to extract valuable insights from complex datasets. Your role will involve designing, implementing, and deploying machine learning models to solve challenging business problems and drive innovation.Responsibilities :- Collaborate with cross-functional...
...innovation and teamwork come together to support the most exciting missions in the world!
Are you passionate about building and deploying machine learning models in production? Do you thrive in a collaborative environment and enjoy tackling complex technical challenges? If so,...
...Key Responsibilities:
Lead end-to-end development and delivery of Machine-Learning applications, emphasizing operations and monitoring.
Collaborate with multidisciplinary teams to understand business requirements, identify ML workflow requirements, improve processes,...
...Job Description
About the Role: Grade Level (for internal use):
09 Job Title: Data Science / Machine Learning Engineer
Job Description:
We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development...
...the field of NLP, while also conducting the development of cutting-edge technologies, models, and algorithms. Statistical analysis and machine learning : - Conduct the development of advanced statistical techniques and the latest machine learning algorithms. Knowledge Graph :...
...Proficiency in Python programming is essential, with experience in libraries such as NLTK, spaCy, or Transformers.- Familiarity with machine learning frameworks like TensorFlow or PyTorch is a plus.- Experience working with both structured and unstructured data, leveraging...
...Senior ML/AI SME:
Develop state-of-the-art machine learning model architectures.
Conduct data gathering, analysis, and cleaning following guidelines for AI implementation
Build computer vision algorithms for quantitative analysis of image quality
end-to-end processes...
...Architect with extensive experience in cloud technologies to lead the design and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a deep understanding of AI/ML algorithms, frameworks, and tools, coupled with a...
...The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume...
Summary: As a Data Scientist, you will be responsible for analyzing and interpreting complex data sets using machine learning techniques. Your typical day will involve working with Python, performing data analysis and munging to extract insights and patterns from large data...
...and developing predictive models to solve business problems. The candidate should have a deep understanding of statistical analysis, machine learning, and data mining techniques, as well as experience working with business stakeholders to develop data-driven solutions.Key Responsibilities...
Job Description :We are looking for a skilled ML Engineer to develop and implement machine learning models and algorithms to solve complex business problems and optimize our financial services platform. Will work closely with Onefin engineering, product, and business teams...
...interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning...
...RemotePosition: Permanent- Bachelor's Degree in Computer Science, Engineering, Statistics, or related field.- Minimum of 6 years of experience in machine learning or a related field.- Advanced programming skills in Python, C++, or similar.- Extensive experience with TensorFlow, PyTorch,...
Job Description :Role & Responsibilities : Technical Leadership : Provide technical leadership and guidance to a team of machine learning engineers, setting best practices and standards for development.Mentor team members, conduct code reviews, and facilitate knowledge sharing...