3 Opening(s)
1.0 Year(s) To 3.0 Year(s)
4.00 LPA TO 6.50 LPA
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, ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Position- ML Engineer
Role & responsibilities-Requirements and Responsibility? Participate in discovery processes collaborating with key stakeholders to identify businessrequirements and expected outcomes.? Develop Neural Network models for information extraction from mortgage documentsusing Computer Vision and NLP techniques.? Deliver high-quality software based on best practices for data collection, modeling, andsoftware development? Design ...
1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Experience Range: 5 to 12 yrs (min 4 years relevant)
Required Qualifications:
2+ years of machine learning and data science experience
3+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow
2+ years leading projects with solid technical communication skills, including demonstrated technical ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 14.00 LPA
Role: Senior AI/ML Developer
Education: MCA, BE/B.Tech-IT/Computer, MSC-IT
Experience: Minimum 5 years of experience
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 ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
- 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, ...
2 Opening(s)
2.0 Year(s) To 8.0 Year(s)
6.00 LPA TO 10.00 LPA
Data Scientist:? Excellent skills in machine learning/deep learning-based algorithms with structured/unstructured data.? Strong mathematical statistical understanding behind the algorithms.? Strong SQL skillsets are required.? Experience in building data pipelines to deploy models.? Problem Solving.? Through use of reports, process knowledge and analysis, proficient at detecting patterns orproblems that could affect ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
7.00 LPA TO 12.00 LPA
Design, develop, and implement advanced AI/ML algorithms and models.
Collaborate with cross-functional teams to understand and translate business needs 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.
Collect, clean, and preprocess data from various sources to ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 33.00 LPA
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 ...
3 Opening(s)
5.6 Year(s) To 7.5 Year(s)
15.00 LPA TO 25.00 LPA
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 ...
3 Opening(s)
5.6 Year(s) To 7.5 Year(s)
15.00 LPA TO 25.00 LPA
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. ...