Experience Required: 6 to 8 years
Location: Trivandrum (Remote)
Employment Type: Contract (Remote Opportunity)
Duration: 6 months
Job Description:
We are seeking a highly skilled Data Science Engineer with 6 to 8 years of hands-on experience in data science, machine learning, and data engineering. The ideal candidate will be responsible for building scalable data pipelines, deploying machine learning models into production, and collaborating closely with cross-functional teams to drive data-driven solutions.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and architectures.
Develop, deploy, and monitor machine learning models and algorithms.
Collaborate with data analysts, engineers, and product teams to understand requirements and deliver insights.
Perform data wrangling, preprocessing, and feature engineering on large datasets.
Implement data validation, quality checks, and performance tuning.
Develop dashboards and reports for stakeholders using BI tools.
Stay updated with the latest developments in data science and analytics.
Required Skills & Qualifications:
Bachelor's or Master’s degree in Computer Science, Statistics, Data Science, or related field.
6 to 8 years of experience in data science, machine learning, or data engineering roles.
Proficiency in Python, SQL, and libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
Strong experience with data processing frameworks (Spark, Airflow, etc.).
Hands-on experience with cloud platforms (AWS, GCP, or Azure).
Experience with containerization tools (Docker, Kubernetes) is a plus.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Nice to Have:
Experience with NLP, deep learning, or time series analysis.
Familiarity with MLOps practices and tools.
Exposure to Agile/Scrum methodologies.
Work Mode:
Remote (Preference for candidates residing in or near Trivandrum for occasional onsite if needed)
Compensation:
Competitive and based on experience.
Module No.7(B), 4th Floor, Gayatri Building, Technopark Phase I Campus , 695581
Hiring Data science Engineer
Brief Description
Preferred Skills
Experience Required: 6 to 8 years
Location: Trivandrum (Remote)
Employment Type: Contract (Remote Opportunity)
Duration: 6 months
Job Description:
We are seeking a highly skilled Data Science Engineer with 6 to 8 years of hands-on experience in data science, machine learning, and data engineering. The ideal candidate will be responsible for building scalable data pipelines, deploying machine learning models into production, and collaborating closely with cross-functional teams to drive data-driven solutions.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and architectures.
Develop, deploy, and monitor machine learning models and algorithms.
Collaborate with data analysts, engineers, and product teams to understand requirements and deliver insights.
Perform data wrangling, preprocessing, and feature engineering on large datasets.
Implement data validation, quality checks, and performance tuning.
Develop dashboards and reports for stakeholders using BI tools.
Stay updated with the latest developments in data science and analytics.
Required Skills & Qualifications:
Bachelor's or Master’s degree in Computer Science, Statistics, Data Science, or related field.
6 to 8 years of experience in data science, machine learning, or data engineering roles.
Proficiency in Python, SQL, and libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
Strong experience with data processing frameworks (Spark, Airflow, etc.).
Hands-on experience with cloud platforms (AWS, GCP, or Azure).
Experience with containerization tools (Docker, Kubernetes) is a plus.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Nice to Have:
Experience with NLP, deep learning, or time series analysis.
Familiarity with MLOps practices and tools.
Exposure to Agile/Scrum methodologies.
Work Mode:
Remote (Preference for candidates residing in or near Trivandrum for occasional onsite if needed)
Compensation:
Competitive and based on experience.