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Staff Data Scientist - Machine Learning / Artificial Intelligence

Staff Data Scientist - Machine Learning / Artificial Intelligence

Microhire LLPPune
28 days ago
Job description

About the role :

We are looking for a highly skilled Senior Data Scientist who can translate complex business problems into advanced analytical solutions.

The ideal candidate combines deep expertise in statistical modeling, machine learning, and data engineering with a strong focus on Generative AI (GenAI), Large Language Models (LLMs), and Deep Learning.

This role requires both technical leadership and strategic visionfrom driving AI / ML innovation to mentoring junior team members, and collaborating across product, consulting, and engineering teams to bring AI-powered solutions to life.

By applying your expertise in data science to the ad-server and retail media domains, you will contribute to delivering targeted and impactful advertising campaigns, optimizing ad inventory, and maximizing ROI .

What will you do?

Your role in building ML algorithms for the ad server and retail media would involve the following :

Business Problem Solving :

  • While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
  • Translate complex business challenges into analytical frameworks using statistical and ML methodologies.
  • Apply AI / ML solutions to real-world business use cases across multiple industries.
  • Extract insights from large-scale datasets to improve model accuracy, fairness, and relevance.

Technical Proficiencies :

  • Strong expertise in statistical modelling, machine learning, deep learning, and NLP, with hands-on experience in LLMs and Generative AI (fine-tuning, RAG, prompt engineering).
  • Proficiency in Python, PyTorch / TensorFlow, Hugging Face, and cloud-based ML platforms (AWS / GCP / Azure) with MLOps practices.
  • Skilled in building scalable data pipelines and ML systems for training, evaluation, and deployment at scale.
  • Solid grounding in Responsible AI principles including fairness, explainability, and bias mitigation.
  • AI / ML & Generative AI Innovation :

  • Lead the design, development, and deployment of scalable ML and DL solutions, with emphasis on LLMs and GenAI.
  • Build training, fine-tuning, evaluation, and serving pipelines for LLMs across use cases like content generation, summarization, semantic search, personalization, and multimodal AI.
  • Drive applied research, incorporating the latest in GenAI and foundation models into production-ready systems.
  • Ensure solutions are optimized for performance, security, reliability, and cost.
  • Leadership & Collaboration :

  • Provide technical and strategic leadership to cross-functional teams of Data Scientists and Analysts.
  • Collaborate with engineering and product teams to integrate AI solutions into customer-facing platforms.
  • Mentor junior data scientists; set and promote best practices in MLOps, Responsible AI, and ML system design.
  • Stay ahead of industry trends and incorporate them into roadmap planning.
  • Project Management & Strategy :

  • Drive the execution of business plans and projects.
  • Manage the continuous improvement of data science initiatives.
  • Direct the gathering and assessment of data for project goals.
  • Develop contingency plans and adapt to changing business needs.
  • You will be a great fit if you have :

  • A master's or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred.
  • A strong academic background with coursework in machine learning, statistical modeling, data mining, and programming is valuable.
  • 8 -12 years of practical experience in data science, generative AI, machine learning, and analytics.
  • Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous.
  • Minimum 34 years of deep, hands-on expertise in NLP, LLMs, and Generative AI.
  • 2+ years of Demonstrated experience in leading projects and teams.
  • Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development.
  • Core Skills :

  • Strong foundation in machine learning, deep learning, and NLP.
  • Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA).
  • Proficiency in Python, PyTorch / TensorFlow, SQL, and cloud platforms (GCP / AWS / Azure).
  • Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.
  • Strong data engineering skills to build ETL pipelines for large-scale datasets.
  • Statistical rigor : hypothesis testing, power analysis, confidence intervals; regression (GLM / GLMM), time-series; causal inference (propensity scores, DiD, RDD) for business impact.
  • Soft Skills :

  • Strong business acumen and ability to map AI / ML solutions to strategic goals.
  • Excellent communication and stakeholder management skills.
  • Proven track record of mentoring and leading teams, collaborating with cross-functional teams, and communicating effectively with stakeholders.
  • (ref : hirist.tech)

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