Job Description

Position: Jr. Data Scientist (Gen-AI Developer)
Experience Level: Entry Level

Description:

As a Jr. Data Scientist (Gen-AI Developer), you'll work on cutting-edge generative AI models, learning from senior team members while contributing to projects in content generation, automation, and real-time analytics.

Responsibilities:

? Generative AI Model Development: Assist in the design, fine-tuning, and testing of generative AI models (e.g., GPT, BERT, GANs) for applications in NLP, content creation, and automation.

? Prompt Engineering & Function Calling: Design, test, and refine prompts, utilizing function calling capabilities and optimizing language model responses for targeted use cases.

? Data Management & Preparation: Support data collection, preprocessing, and management for model training, ensuring quality and relevance in datasets.

? Model Evaluation & Optimization: Conduct testing to assess model performance, assist in error analysis, and iterate on model design to improve accuracy and stability.

? Basic Machine Learning & Deep Learning: Apply fundamental ML/DL techniques to support generative AI models, utilizing concepts such as supervised learning, embeddings, and neural networks.

? Collaboration: Work closely with senior data scientists and developers to align on project goals and contribute ideas to enhance model effectiveness.

? Documentation: Document workflows, prompt designs, model performance, and any issues encountered, ensuring transparent and comprehensive records.

? Research & Learning: Stay updated with generative AI, ML/DL, and NLP trends, applying new insights to projects under team guidance.

Qualifications:

? Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

? Technical Skills:

? Proficiency in Python for data analysis, model development, and prototyping.

? Familiarity with ML/DL frameworks such as TensorFlow or PyTorch, and foundational knowledge of machine learning and deep learning.

? Basic understanding of NLP tools and libraries (e.g., spaCy, NLTK) and LLM libraries (e.g., Hugging Face Transformers).

? Exposure and working knowledge of open-source LLMs.

? Exposure to LangChain or other LLM management frameworks, with interest in prompt engineering and function calling.

? Ability to develop APIs using Django.

? Foundational Knowledge in Generative AI: Basic understanding of generative models (e.g., transformers, GANs) and experience working with models like GPT or BERT.

? Data Handling: Experience in data preprocessing, data cleaning, normalization, and feature extraction.

? Analytical Abilities: Strong problem-solving and analytical skills, with a foundation in data-driven decision-making.

? Communication: Ability to convey technical insights effectively and collaborate with cross-functional teams.

? Self-Motivated Learner: Enthusiasm for learning and applying new skills, with a proactive approach to problem-solving.

Preferred Qualifications:

? Familiarity with cloud platforms (AWS, Azure, Google Cloud) and vector storage solutions.

? Experience in academic or industry projects related to NLP, generative AI models, LangChain, or function calling.

? Exposure to AI model pipelines or integrations within enterprise applications.

akhil@vitelglobal.com, 9573584606

Job Type: Full-time

Pay: ?240,000.00 - ?500,000.00 per year

Benefits:

• Health insurance
• Leave encashment
• Life insurance
• Provident Fund

Schedule:

• Monday to Friday

Ability to commute/relocate:

• Begumpet, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• Do you have Generative AI experience?
• Do you have LLMs work experience?
• what is your current package ?
• what is your expected package ?
• what is your notice period in dayas?

Experience:

• Generative AI: 1 year (Required)

Work Location: In person

Application Deadline: 30/11/2024
Expected Start Date: 20/11/2024