5 Job openings found

1 Opening(s)
0 To 3.0 Year(s)
Not Disclosed by Recruiter
Job Description:VCS is seeking a talented and motivated Junior Machine Learning Engineer to join our team.As a Junior Machine Learning Engineer, you will work closely with our experienced datascientists and engineers to develop, implement, and deploy machine learning models andsystems. You will have the opportunity to work on exciting projects ...
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) Responsibilities: Enable Model tracking, model experimentation, Model automation Develop ML pipelines to support  Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS. Work ...
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 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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