HeartCentrix Solutions
Technical Recruiter at HeartCentrix Solutions
Responsibilities
Lead data science projects, delivering actionable insights that support business decisions.
Build and deploy AI/ML models with a focus on scalability and performance.
Work with large datasets to extract patterns, trends, and customer behavior insights.
Apply advanced ML concepts (e.g., Deep Learning, GANs, Transformers, NLP, LLMs).
Design and optimize ELT/ETL processes using AWS Glue and related services.
Conduct data segmentation, churn analysis, market basket modeling, and A/B testing.
Collaborate with stakeholders to define requirements, walk through use cases, and deliver measurable outcomes.
Required Skills & Qualifications
5+ years of experience in Data Science.
2–3 years of hands-on AI/ML development.
Strong proficiency in Python and SQL.
Mandatory AWS expertise (Azure/GCP not acceptable).
Experience with CI/CD and MLOps (Git, Docker).
Familiarity with distributed datastores (SQL, NoSQL) and big data tools.
Experience with Cloud Llama or similar LLM frameworks.
Nice to Have
Experience with TensorFlow, PyTorch, Jupyter Notebooks, SageMaker.
Experience working with large-scale industry datasets.
Hands-on with model management frameworks and modern LLMs (Claude, Llama, Haiku, Gemma).
Soft Skills
Strategic thinker with strong analytical and problem-solving skills.
Ability to clearly explain use cases and insights to business and technical teams.
Strong communication skills, with experience influencing customer acquisition and retention strategies.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting and Software Development
#J-18808-Ljbffr
Responsibilities
Lead data science projects, delivering actionable insights that support business decisions.
Build and deploy AI/ML models with a focus on scalability and performance.
Work with large datasets to extract patterns, trends, and customer behavior insights.
Apply advanced ML concepts (e.g., Deep Learning, GANs, Transformers, NLP, LLMs).
Design and optimize ELT/ETL processes using AWS Glue and related services.
Conduct data segmentation, churn analysis, market basket modeling, and A/B testing.
Collaborate with stakeholders to define requirements, walk through use cases, and deliver measurable outcomes.
Required Skills & Qualifications
5+ years of experience in Data Science.
2–3 years of hands-on AI/ML development.
Strong proficiency in Python and SQL.
Mandatory AWS expertise (Azure/GCP not acceptable).
Experience with CI/CD and MLOps (Git, Docker).
Familiarity with distributed datastores (SQL, NoSQL) and big data tools.
Experience with Cloud Llama or similar LLM frameworks.
Nice to Have
Experience with TensorFlow, PyTorch, Jupyter Notebooks, SageMaker.
Experience working with large-scale industry datasets.
Hands-on with model management frameworks and modern LLMs (Claude, Llama, Haiku, Gemma).
Soft Skills
Strategic thinker with strong analytical and problem-solving skills.
Ability to clearly explain use cases and insights to business and technical teams.
Strong communication skills, with experience influencing customer acquisition and retention strategies.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting and Software Development
#J-18808-Ljbffr