Senior Data Scientist

Job Summary:
We are seeking a highly skilled Senior Data Scientist with a strong blend of data science, machine learning engineering, and AI architecture experience. The ideal candidate will be hands-on with developing, deploying, and scaling ML/AI solutions across cloud environments, while also providing technical leadership in designing data-driven architectures that power intelligent applications.
This role requires a unique mix of statistical depth, engineering expertise, and architectural vision to build scalable, secure, and high-performing AI systems that transform data into actionable intelligence.


Key Responsibilities:
Design, build, and deploy end-to-end machine learning pipelines - from data ingestion and feature engineering to model development, deployment, and monitoring.
Architect and implement AI/ML frameworks that support real-time analytics, predictive modeling, and intelligent automation at scale.
Collaborate with cross-functional teams (data engineering, DevOps, and product teams) to integrate ML models into production-grade systems.
Develop LLM-based and GenAI solutions using frameworks like LangChain, Hugging Face, OpenAI API, and RAG architectures for contextual and intelligent applications.
Implement MLOps best practices using tools like MLflow, Kubeflow, SageMaker, and Vertex AI to streamline CI/CD, model monitoring, and retraining.
Optimize models for scalability, latency, and cost-efficiency using cloud-native infrastructure (AWS, Azure, or Google Cloud Platform).
Design data architectures and feature stores (Databricks, Snowflake, Delta Lake, Feature Store) that support advanced analytics and model reusability.
Apply deep statistical and machine learning techniques (Regression, Tree-based methods, Neural Networks, Deep Learning, NLP, Reinforcement Learning).
Mentor junior data scientists and ML engineers; define coding and modeling standards across teams.
Drive research and adoption of emerging AI technologies (LLMs, multimodal AI, GenAI, AutoML, federated learning).


Required Qualifications:
8+ years of overall experience in Data Science and Machine Learning, with a strong focus on business impact through AI/ML-driven innovation.
8+ years of hands-on experience in Python programming for data analysis, feature engineering, model building, and API development.
7+ years of experience designing and implementing end-to-end ML pipelines (training, validation, deployment, and monitoring).
6+ years of experience with MLOps tools such as MLflow, Kubeflow, Airflow, and CI/CD systems (Jenkins, GitHub Actions).
6+ years of experience architecting and deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, or Google Cloud Platform Vertex AI).
5+ years of experience with Deep Learning & NLP frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs).
5+ years of experience working with data architecture frameworks (Databricks, Snowflake, Delta Lake, Feature Store, Unity Catalog).
4+ years of hands-on experience developing LLM, RAG, and GenAI applications using LangChain, FAISS, Pinecone, or similar.
4+ years of experience applying statistical modeling, hypothesis testing, and time-series forecasting techniques to business data.
3+ years of experience designing AI/ML architectures, ensuring scalability, compliance, and security in production environments.
4+ years of experience in SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB) for data retrieval and transformation.
4+ years of experience in understanding of data governance, model drift, bias, and ethical AI principles.


Preferred Qualifications:
Master's or Ph.D. in Computer Science, Data Science, AI/ML, or related field.
Experience leading enterprise-scale AI/ML modernization initiatives.
Cloud certification(s): AWS Certified Machine Learning Specialty, Azure AI Engineer, or Google Professional Machine Learning Engineer.
Experience with microservices-based AI architectures, model registries, and feature stores for cross-functional model deployment.
Familiarity with AI observability and monitoring tools (WhyLabs, Arize, Neptune.ai, Prometheus, Grafana).

Best Regards,

Govinda rajulu. M| Sr. Talent Acquisition Specialist

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