169 Job openings found

- 5-7 years of professional experience in data science, with a proven track record ofdelivering impactful solutions in a business setting.- Strong proficiency in machine learning techniques and algorithms, including supervisedand unsupervised learning, deep learning, and reinforcement learning.- Extensive experience in natural language processing (NLP) techniques and frameworks,such as NLTK, ...

Who we are We’re a team of engineers working aggressively & passionately to solve the hard problems. We are focussed on revolutionising how the traditional BIM/3D design/engineering/construction process works & enable people building the future, build it faster.   About the role A pioneering company is changing the way people design & construct Houses, ...

Experience & Skills: Proficiency with python and the python ML tool kit along with DL frameworks Experience with working on end to end solutions and comfortable with cloud based ML-Opspipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference ...

Role : Application Developer  Role Description : Design, build and configure applications to meet business process and application requirements.  Must have Skills : Artificial Intelligence  Good to Have Skills :  No Technology Specialty  Job Requirements : A:Responsibilities  1:Work with business owners to map business requirements into technical solutions  2:Work with ...

Role : Digital Data Engineering Practitioner  Role Description : Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.                      ...

Job description: Responsibilities: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. ...

Key Responsibility : Key Responsibilities : You will be working with the core R&D team which drives the computer vision and imageprocessing development. Build a deep learning model for our data and object detection on large-scale images. Design and implement real-time algorithms for object detection, classification, tracking, and segmentation Coordinate and communicate within computer vision, ...

Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 3.5 - 7 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product ...

SKILL TITLEData Scientist KEY SKILLS ( MANDATORY)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and tensor flow as mandatory JOB DESCRIPTION (DETAILED)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and ...

Position : Manager/Senior Manager (AI/ML into Counter Fraud)  To Apply: Send your Resume to cv1@m3consultant.net Required Skillset: • 6-10 years of experience in Risk Management with consulting firms, Banks, and other Financial Services • Certifications like CFA, FRM, CQF • Proficiency in MS Excel and PowerPoint • In-depth knowledge of AI/ML techniques, including ...