Machine Learning Engineer

We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our

growing ML/GenAI team.

You will play a key role in designing, developing and productionalizing ML applications by

evaluating models, training and/or fine tuning them. You will play a crucial role in

developing Gen AI based solutions for our customers. As a senior member of the team, you

will take ownership of projects, collaborating with engineers and stakeholders to ensure

successful project delivery.

At least 5+ years of experience in designing & building AI applications for customer

and deploying them into production

At least 5 years of Software engineering experience in building Secure, scalable and

performant applications for customers.

Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or

Gen AI.

Design, develop, and operationalize existing ML models by fine tuning, personalizing

it.

Evaluate machine learning models and perform necessary tuning.

Develop prompts that instruct LLM to generate relevant and accurate responses.

Collaborate with data scientists and engineers to analyze and preprocess datasets

for prompt development, including data cleaning, transformation, and

augmentation.

Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to

improve LLM performance.

Hands on customer experience with RAG solution or fine tuning of LLM model.

Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud

platform involving data warehouses, machine learning platforms, dashboards or

CRM tools.

Experience working with the end-to-end steps involving but not limited to data

cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing

data distributions (univariate, bivariate, multivariate), transforming numerical and

categorical data into features, feature selection, model selection, model training and

deployment.

Proven experience building and deploying machine learning models in production

environments for real life applications

Good understanding of natural language processing, computer vision or other deep

learning techniques.

Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost,

TensorFlow, PyTorch, Scikit-learn, LangChain).

Familiarity with Google Cloud or any other Cloud Platform and its machine learning

services.

Excellent communication, collaboration, and problem-solving skills.

Good to Have

Google Cloud Certified Professional Machine Learning or TensorFlow Certified

Developer certifications or equivalent.

Experience of working with one or more public cloud platforms - GCP, AWS,Azure.

Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for

CCAI Agent workflows

Experience with AutoML and vision techniques.

Master's degree in statistics, machine learning or related fields.