Data Scientist

6 months ago

Delhi Delhi, India NetCom Learning Full time

**Responsibilities**:
**Research and Development**: Stay up-to-date with the latest advancements in Generative AI, including LLMs, GPTs and other related techniques.

**Model Development**: Create conversational Chatbot’s, Q&A Chatbots, Semantic Search Application, RAG-Based models and language models for (NLP) tasks such as text generation, text completion, language translation, and document summarization tailored to our clients' needs.

Optimize the output of generative models to generate realistic responses and original content, such as text, images or audio.

**Evaluation**: Evaluate model performance using quantitative and qualitative metrics. Iterate and improve approach based on feedback and analysis of results.

**Collaboration**: Understand project requirements, define objectives, and identify opportunities to leverage generative AI techniques.

Carrying out POCs to make sure that suggested designs/technologies meet the requirements.

Provide technical guidance and support to team members.

**Innovation and Problem Solving**: Identify and tackle challenges related to generative AI, such as Fine tuning, hallucinations, generating diverse and high-quality outputs.

Propose innovative solutions and approaches to address these challenges.

**Documentation and Communication**: Document findings, methodologies. Prepare reports and presentations to communicate results and insights to technical stakeholders.

**Mandatory Skills**
- A minimum of 5-7 years of experience in Data Science, Machine Learning, Deep Learning and advanced Statistical Algorithms.
- 3+ years’ Experience working with Large Language Models and Generative AI, Prompt engineering, Vector DB and GEN AI Framework as “**Lang Chain, LLAMA Index**”.
- Deep expertise in building and fine-tuning large language models of OpenAI e.g. GPT 4, GPT 3.5, DALL-E, open source models - LLMA2, GEMINI-Pro, Mistral etc.
- Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
- Hands-on training and fine-tuning experience with Azure OpenAI distributed OpenAI models such as DaVinci, curie, Babbage, ADA.
- Should have strong knowledge and experience in working with Deep Learning projects using RNN, LSTM, Transformers, BERT, and transformer-based architectures, Encoder and Decoder, auto encoders (VAEs),GAN algorithms or any other text ,image generation and classification use cases.
- Experience with computer vision, image processing and deep learning with Tensor Flow, PyTorch, Kara’s is must.
- 5+ years of work experience in writing code in Python, experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s - PyCharm, Visual Studio Code)
- Experience in data manipulation and analysis tools using various Python libraries like (e.g., Pandas, NumPy, SciPy, Scikit-learn)
- Experience in Exploratory Data Analysis (EDA), Feature Engineering, Data visualization, machine learning libraries like Matplotlib, Seaborn, and Ploty.
- Experience in building models for ML tasks (Regression, Classification and Clustering, Ensemble Technique Random Forest, Boosting
- XGBoost, Bagging)
- Deep understanding of data structures, algorithms, and excellent problem-solving skills
- Strong working knowledge of source code control/ version controlling tools such as Git, Bit bucket, GITLAB,
- Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous.
- Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML-Ops, Model Deployment approaches and Model monitoring and tuning.
- Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure)
- Experience in distributed training of models on NVidia GPU’s, Orchestrate workflow using Airflow, Opsera. Familiarity in Dockerizing the model and create model end points (Rest API or FASTAPI)

**Interpersonal and Behaviour Skills:

- **
- Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and provide technical guidance.
- Strong problem-solving and critical thinking skills, with the ability to break down complex problems and develop innovative solutions.
- Strong drive to learn and master new technologies and techniques.
- Excellent communication and interpersonal skills, with a demonstrated ability to effectively communicate complex concepts to both technical and non-technical audiences.
- Proven track record of successfully managing and delivering data science projects on time and within budget.
- Good attitude and self-motivated.

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