Data Scientist - Machine Learning Models (2-6 yrs)

Job Description :

- We are seeking a dynamic Data Scientist / Machine Learning Engineer with 2-6 years of experience from a premier institute to join our team.

- In this role, you will design, develop, and implement advanced data models and algorithms, transforming raw data into actionable insights and scalable AI solutions.

- The ideal candidate will apply their expertise in statistical analysis to derive meaningful insights from complex datasets, contributing to informed decision-making processes.

- The role involves employing advanced techniques to assess and enhance the performance of machine learning models, ensuring accuracy and reliability.

Responsibilities :

- Data Analysis and Modeling.

- Analyze structured and unstructured data to derive insights and identify patterns.

- Apply statistical analysis expertise to extract meaningful insights from complex datasets.

- Design and implement machine learning models for predictive analytics, classification, regression, and clustering tasks.

- Contribute to informed decision-making processes by providing actionable insights.

- Design, implement, and deploy data science solutions with a focus on efficiency and scalability.

- Machine Learning Engineering.

- Develop, train, and optimize ML models and deploy them to production environments.

- Assess and enhance the performance of machine learning models using advanced techniques.

- Build scalable and efficient pipelines for data preprocessing and model deployment.

- Utilize strong proficiency in Python to develop robust and scalable machine learning models.

- Leverage Jupyter notebooks and AWS SageMaker for collaborative and cloud-based development.

Collaboration.

- Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define project goals and deliver solutions.

- Translate complex technical findings into actionable insights for non-technical stakeholders.

- Innovation and Experimentation.

- Stay updated with the latest trends in AI/ML, propose innovative solutions, and lead proof-of-concept initiatives.

- Continuously improve model performance by experimenting with new techniques and tools.

Operational Excellence.

- Monitor and maintain deployed models, ensuring reliability, scalability, and performance.

- Conduct thorough documentation of workflows, models, and methodologies.

Qualifications :

- Educational Background.

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from a premium institute (e.g, IITs, NITs, IIITs, or global equivalents).

Experience :

- 2-6 years of professional experience in data science, machine learning, or a related field.

Technical Skills :

- Proficiency in Python or R, with strong expertise in libraries such as NumPy, Pandas, TensorFlow, PyTorch, or Scikit-learn.

- Experience with SQL and data querying.

- Hands-on experience with cloud platforms (e.g, AWS, Azure, Google Cloud) and MLOps tools (e.g, Docker, Kubernetes, MLflow).

- Familiarity with big data technologies like Spark, Hadoop, or similar.

- Strong understanding of algorithms, statistics, and data visualization tools (e.g, Tableau, Power BI).

Soft Skills :

- Strong problem-solving skills and analytical thinking.

- Excellent verbal and written communication skills.

- Ability to work both independently and collaboratively in a fast-paced environment.

- If you are a skilled ML Engineer with a passion for applying statistical analysis to create impactful machine learning solutions, and you possess the required skills and experience, we invite you to apply for this exciting opportunity.