52 Job openings found

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, ...
5 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
I hope you’re having a great day! I wanted to reach out because our client is hiring for Lead Software Engineer – AI (Generative AI) Location: Remote We are hiring a Lead Software Engineer – AI with strong experience in building Generative AI-based products in a commercial environment. Experience Required: ...
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.                      ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
18.00 LPA TO 18.00 LPA
Job Title: AI/ML Model Training Engineer (Foundational Models)Any graduate / B.Tech / B.E / BCA / MCA Job Description: Design, develop, and train foundational AI/ML models using large-scale datasets. Fine-tune pre-trained foundation models and LLMs for domain-specific applications and improved performance. Build and optimize data pipelines, model training workflows, and evaluation frameworks. Implement distributed training, ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Key Purpose & Responsibilities: A senior A.I. Developer, with potential leadership qualities, to be able to guide the analytics team with their expertise and knowledge of the field. Deliver A.I. based products / submodules / patches as required Adhering to expected quality standards, including testing and code reviews of A.I. repo A.I. pipeline architecting and ...
2 Opening(s)
8.0 Year(s) To 16.0 Year(s)
40.00 LPA TO 65.00 LPA
Position - AI Manager India - Chennai   Salary - INR 4000000 - 6500000   Experience 8 - 16 Years   Job Description/Preferred Qualifications Key Responsibilities: • Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. • Develop and maintain the infrastructure required for the deployment and execution of algorithms at ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
5.00 LPA TO 20.00 LPA
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-Ops pipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference Comfortable in deploying end to end ...

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