Senior/Lead Data Scientist Machine Learning/Deep Learning

Job description

<p><p><b>About the Opportunity : <br/></b><br/>We are looking for an exceptional Senior / Lead Data Scientist with expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI (LLMs) to design and deploy AI-driven solutions at scale.<br/><br/>This role offers the opportunity to work on cutting-edge GenAI use cases from building intelligent assistants and automated content generation systems to deploying enterprise-grade AI models across industries.<br/><br/>You will combine strong technical depth in Python, R, Spark, and cloud ML services with a research-oriented mindset and the ability to translate abstract problems into tangible business outcomes.<br/><br/>This role bridges AI innovation and production-grade deployment, contributing directly to the companys data science roadmap and transformation journey.<br/><br/><b>What Youll Do : </b><br/><br/>- Design, develop, and deploy machine learning, deep learning, and natural language processing models across diverse business use cases.<br/><br/>- Architect and implement Generative AI (GenAI) solutions leveraging LLMs (GPT, BERT, LLaMA, Claude, Gemini) for domain-specific tasks.<br/><br/>- Build, fine-tune, and evaluate large language models for text summarization, question answering, semantic search, and prompt engineering.<br/><br/>- Perform feature engineering, model training, and hyperparameter optimization for predictive analytics and AI solutions.<br/><br/>- Collaborate with engineering and DevOps teams to operationalize models using MLOps frameworks (MLflow, Kubeflow, Vertex AI, or Azure ML).<br/><br/>- Develop and automate ETL and data processing pipelines in Python, R, or Spark for large-scale datasets.<br/><br/>- Apply statistical modeling, hypothesis testing, and causal inference to derive actionable insights.<br/><br/>- Implement data visualization and storytelling dashboards using Power BI, Tableau, or Plotly.<br/><br/>- Work with cloud AI services (Azure ML, AWS Sagemaker, GCP Vertex AI) for scalable model deployment and experimentation.<br/><br/>- Collaborate cross-functionally with business leaders, analysts, and product teams to define and prioritize AI-driven opportunities.<br/><br/>- Document model development, experimentation, and validation for reproducibility and compliance.<br/><br/><b>What You Bring : </b><br/><br/>- 2 to 12 years of experience in Data Science, Machine Learning, or AI Research with hands-on production experience.<br/><br/>- Proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) or R for model development and analytics.<br/><br/>- Strong understanding of LLMs, transformer architectures, and prompt engineering for Generative AI applications.<br/><br/>- Hands-on experience in NLP, text analytics, and semantic modeling.<br/><br/>- Expertise in statistical modeling, predictive analytics, and data mining.<br/><br/>- Practical experience with Spark or other distributed data processing frameworks.<br/><br/>- Knowledge of MLOps, including model deployment, monitoring, and lifecycle management.<br/><br/>- Familiarity with cloud-based AI environments Azure ML, AWS Sagemaker, or GCP Vertex AI.<br/><br/>- Strong problem-solving skills with the ability to work independently and in teams.<br/><br/>- Excellent communication, documentation, and stakeholder engagement skills.<br/><br/>- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related technical discipline.<br/><br/><b>Preferred Skills : </b><br/><br/>- Experience with Retrieval-Augmented Generation (RAG), vector databases (FAISS, Pinecone, Weaviate), and knowledge graph embeddings.<br/><br/>- Research exposure to multi-modal AI, vision-language models, or reinforcement learning.<br/><br/>- Familiarity with data governance, AI ethics, and responsible AI practices.<br/><br/>- Hands-on experience building end-to-end GenAI prototypes integrated into business workflows or chat-based interfaces.<br/><br/>- Published work or participation in AI/ML research conferences or open-source projects.<br/><br/><b>Why Join Us : </b><br/><br/>This is an opportunity to be part of an elite data science team driving AI innovation and applied intelligence across industries.<br/><br/>As a Senior or Lead Data Scientist, youll architect intelligent solutions that leverage large language models, deep learning frameworks, and MLOps practices to deliver measurable business impact.<br/><br/>Youll operate in an environment that values research-led experimentation, technical autonomy, and collaborative innovation.<br/><br/>Whether developing next-generation GenAI applications or optimizing ML pipelines at scale, youll play a defining role in shaping how organizations harness the power of AI to transform the way they work, decide, and grow<br/><br/>- - - - - - - </p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations