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,
Tensor Flow, PyTorch, Scikit-learn, Lang Chain).
 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 Tensor Flow Certified
Developer certifications or equivalent.

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

Experience with Amazon Lex or Google Dialog Flow 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.