1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
50.00 LPA TO 65.00 LPA
Why This Role Matters
We’re looking for a Principal Engineer to lead the architecture and execution of our GenAI-powered, self-serve marketing platforms. You will work directly with the CEO to shape, build, and scale products that change how marketers interact with data and AI. This is intrapreneurship in action — not ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
9.00 LPA TO 25.00 LPA
Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation.
Key Responsibilities:
Develop and implement ...
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)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management
Role Summary:
The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions.
Key Responsibilities:
Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking.
Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...
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)
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)
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)
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 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, ...