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Senior Data Scientist
Mott MacDonald
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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
Employment Type: Full Time, Permanent
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What people at Mott MacDonald are saying
Senior Data Scientist salary at Mott MacDonald
reported by
1
employee
with 7
years exp.
₹37.8
L/yr - ₹48.3
L/yr
61%
more
than the average Senior Data Scientist Salary in India
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What Mott MacDonald employees are saying about work life
based on 576 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Mott MacDonald Benefits
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