XAI Support

Job Responsibility:

Products.looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products.

• Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs.

• Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high

quality prediction systems.

• Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources.

Analyze and preprocess data to extract valuable insights and ensure

data quality.

• Evaluation and Optimization: Evaluate model performance using

appropriate metrics and iterate on solutions to enhance performance

and accuracy. Continuously optimize algorithms and models to

adapt to evolving business requirements.

• Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders.

Work experience background required:

• Experience building software from the ground up in a corporate or startup environment.

Essential skillsets required:

• 3-6 years experience in software development

• Educational Background: Strong computer science and

Math/Statistics

• Experience with Open Source LLM and Langchain Framework and

and designing efficient prompt for LLMs.

• Proven ability with NLP and text-based extraction techniques.

• Experience in Generative AI technologies, such as diffusion and/or

language models.

• Excellent understanding of machine learning techniques and

algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests,

etc.

• Familiarity with cloud computing platforms such as GCP or AWS.

Experience to deploy and monitor model in cloud environment.

• Experience with common data science toolkits, such as NumPy,

Pandas etc

• Proficiency in using query languages such as SQL

• Good applied statistics skills, such as distributions, statistical

testing, regression, etc.

• Experience working with large data sets along with data modeling,

language development, and database technologies

• Knowledge in Machine Learning and Deep Learning frameworks

(e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP,

Recommender systems, personalization, Segmentation,

microservices architecture and API development.

• Ability to adapt to a fast-paced, dynamic work environment and

learn new technologies quickly.

• Excellent verbal and written communication skills