Job Description

The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed.
:
Experience - 7+ Years
Should have some Team management experience along with
a. ML Ops, model deployment etc.
b. On DS front, NLP, LLM, RAG with langchain
c. Databricks & any cloud
What are we looking for :Experience in Data Science, Machine Learning, Deep Learning and Gen AI. Design, Architect and Execute end to end Data Science pipelines which includes

Data extraction, data preprocessing, Feature engineering, Model building, tuning

and Deployment.

Experience in leading a team and responsible for project delivery. Experience in Building end to end machine learning pipelines with expertise in

developing CI/CD pipelines using Azure Synapse pipelines, Databricks, Google

Vertex AI and AWS.

Experience in developing advanced natural language processing (NLP) systems,

specializing in building RAG (Retrieval-Augmented Generation) models using

Langchain. Deploy RAG models to production.

Classification models, Regression models and Clustering Techniques.

Maintaining GitHub repositories and cloud computing resources for effective and

efficient version control, development, testing and production.

Developing proof-of-concept solutions and assisting in rolling these out to our

clients.
Required Skills & Qualifications:

Hands-on experience with Azure Databricks, Azure ML, Azure Synapse, Azure

Blob Storage, and Azure Kubernetes Service (AKS).

Experience with forecasting models, time series analysis, and predictive

analytics.

Proficiency in Python (NumPy, Pandas, TensorFlow, PyTorch, Statsmodels, Scikitlearn, Hugging Face, FAISS). Experience with model deployment, API optimization, and serverless

architectures.

Hands-on experience with Docker, Kubernetes, and MLflow for tracking and

scaling ML models.

Expertise in optimizing time complexity, memory efficiency, and scalability of ML

models in a cloud environment.

Experience with Langchain or equivalent and RAG and multi-agentic generation
Location:
DGS India - Mumbai - Thane Ashar IT Park
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent