Senior Software Engineer / Lead Analyst - Data Science Developer

Carrying out pre-processing of structured and Unstructured data

Propose solutions and strategies to business challenges

Build predictive models and machine-learning algorithms

Coordinate with different functional teams to implement models and monitor outcomes

Evaluating the performance of models and refining them as needed

Look for opportunities to use insights/datasets/code/models across other functions in the organization

Develop custom data models and algorithms to apply to data sets

Deploy, test, validate, and maintain machine learning models in production by collaborating with data engineers
and machine learning engineers.

Developing Prediction systems and machine learning algorithms

Ongoing assessment of the latest AI/ML technologies, packages, and frameworks within the data science
ecosystem

Develop and recommend process standards and best practices in Machine

Learning as applicable
Design Develop NLP models for Text Classification, Custom Entity

Recognition, Relationship extraction, Text
Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like
Tensorflow, Pytorch, etc

Integrating AIML models with other applications using REST APIs and other connector technologies

Use of versioning Collaborative tools like Git / Github

Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API
gateways, microservices based architecture, big data ingestion, storage and processing

Maintain clear and coherent communication, both verbal and written, to understand data needs and report
results

Partner with stakeholders to conduct research, create proof of concepts, and design solutions

Ensuring data privacy and compliance with relevant regulations

A bachelors or masters degree in data science, computer science, statistics, or a related field

6 to 10 Yrs. of experience in designing, developing, and deploying production-grade ML/AI Solution

Solid knowledge on machine learning fundamentals

Strong proficiency in Python
Proficiency in SQL/No SQL Databases

Hands-on experience with data analytics and classical machine learning tools (like pandas, NumPy, scikitlearn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API).

Expertise on Generative AI (Transformer), Computer Vision and NLP

Excellent written and verbal communication skills

Excellent stakeholder management skills

Ability to tell stories with data, and deliver data-driven insights to a wide range of audiences

Teamworking skills and a collaborative approach to sharing ideas and finding solutions

Must to have : Deep learning , Data Science , AI
Good to Have : Any Cloud Experience

• English
• Flask
• Natural Language Processing
• NumPy
• Pandas
• Python
• Scikit-Learn
• Data Visualisation
• SQL