Data science + ML Enginnering

Job Summary:

Talent Worx is looking for a skilled Data Scientist with expertise in Machine Learning Engineering to join our dynamic team. The ideal candidate will possess strong analytical skills, proficiency in coding, and a passion for converting data into actionable insights. This role requires a hands-on approach to building, deploying, and optimizing machine learning models to solve real-world business problems.

Key Responsibilities:

• Collaborate with cross-functional teams to gather requirements and develop machine learning solutions that address business needs.
• Design, implement, and validate machine learning models using appropriate algorithms and techniques.
• Conduct feature engineering, model selection, and hyperparameter tuning to improve model performance.
• Deploy machine learning models into production and ensure their scalability, reliability, and performance.
• Monitor model performance in production and iterate on model improvements.
• Generate reports and visualizations to communicate findings and insights from data analysis.
• Stay updated on the latest advancements in data science and machine learning technologies.
• Contribute to the team's knowledge base and best practices for data science and ML engineering.
• Assist in mentoring less experienced team members in data science and machine learning methodologies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.

3-12 years of experience in data science and machine learning engineering.

• Strong programming skills in Python and experience with ML libraries such as TensorFlow, Keras, or PyTorch.
• Proficiency in data manipulation and analysis using SQL, Pandas, and NumPy.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying machine learning models.
• Solid understanding of machine learning algorithms, statistics, and data mining techniques.
• Experience with CI/CD practices and tools for model deployment.
• Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
• Work with one of the Big 4's in India