44 Job openings found

4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Role : Technical Architect  Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security.                  ...
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)
6.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Mandatory Skills: Champion the entire ML lifecycle, from data exploration and feature engineering to model selection, training, evaluation, deployment, and maintenance. Experience in developing application using LLM models, Generative AI Experience in using RAG, Fine Tuning LLM models (Llama, Gemma etc) Knowledge of Python, R,  or other AI/ML tools Knowledge AI/ML libraries frameworks like Langchain, Transformers, ...
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)
6.0 Year(s) To 14.0 Year(s)
Not Disclosed by Recruiter
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 ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 30.00 LPA
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, ...
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 ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
4.00 LPA TO 6.00 LPA
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. ...
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)
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 ...

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