Senior Data Scientist

Roles & Responsibilities: 

• Lead the development, training , deployment and implementation of Generative AI and LLM projects, ensuring alignment with business objectives.
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
• Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure).

Requirements & Specifications

• Should have 4+years of experience in relevant domain
• Extensive experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with cloud platform (Azure).
• Experienced in development, training and fine-tuning of Open LLM Models ( eg. Llama3, Falcon, etc..)
• Understanding of OpenAI, LLaMA, Claude, Palm, Falcon large language models, how to deploy them on cloud/ on-premise and use APIs to build Industry solutions.
• Experience is using LLM models on cloud i.e. OpenAI @ Azure.
• Experinced in Quantization fundamentionals and Quantize aware fine-tuning eg: QLORA, GPTQ, etc..
• Implementation knowledge of Prompting,Chain of thoghts prompt engineering, Retrieval Augmented Generation, RAG Fusion are a must
• LLMops Design patterns knowledge for cost optimized deployment and inferencing
• Demonstrable experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus
• Designing, developing, and researching Machine Learning systems, models, and schemes through data science and data analytics prototypes.
• Understanding of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG)
• Develop and implement technical efforts to design, build, and deploy AWS ML models at the direction of lead architects, including large-scale data processing, computationally intensive statistical modelling, and advanced analytics
• Programming Languages: Proficient in Python, Software engineering design patterns
• Programming Frameworks: Pytorch, Keras, Langchain, LlamaIndex (vLLM, Spark MLaddtional good to have)
• Programming libraries & utilities experienced with : Huggingface Transformers, SFT, W&B, scikit-learn, spacy, gensim, CoreNLP, Pandas, Numpy, Dask
• Databases Experienced in : MongoDB, SQL, Redis, Vector DB ( Chroma DB, Pinecone, Redis)
• Experienced in designing distributed scalable database solution architecture for LLM Applications
• Experience in building MLOps/LlmOps pipeline using  frameworks like MLFlow,Airflow
• Experience with Docker and Kubernetes Deployments
• Experience in AgileDevelopment

Good To Have Skills:

• Leadership Quality and strong Communication
• Programming Enthusiast and proficient in Python
• Strong concepts and understanding of development & deployment of Deep learning based AI applications
• Experience in working advanced techniques like Linear Regression, Logistics Regression, Bagging and Boosting algorithms (Random Forest, XGBoost, GBM, etc.) and other advanced algorithms.
• Understanding of ML lifecycle, including feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop
• Experience with development and training of GANs, VAEs models

We can offer (subject to Company’s policy):

- Agile and safe working environment

- Competitive annual leave and sick leaves

- Group incentive scheme

- Group term life insurance, Workmen’s compensation and Group medical insurance coverage

- Short and Long-term Global employment opportunities

- Global collaboration and knowledge sharing

- Digital Innovation and Transformation

Equality, diversity and inclusion

We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute.

Agile working

At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust.