What are the responsibilities and job description for the Data Scientist position at KesarWeb?
Job Title:
Machine Learning Engineer
Job Summary:
We are seeking a skilled and passionate Machine Learning Engineer to design, develop, and deploy innovative machine learning models and solutions. You will collaborate with cross-functional teams to leverage data, create predictive models, and integrate AI-driven solutions into our products.
Key Responsibilities:
- Model Development:
- Design, build, and optimize machine learning models for diverse applications, such as classification, regression, recommendation systems, and natural language processing.
- Perform feature engineering and preprocessing to ensure data quality and model accuracy.
- Data Analysis and Engineering:
- Collect, clean, and preprocess large datasets for training and testing machine learning models.
- Collaborate with data engineers to build robust data pipelines.
- Deployment and Integration:
- Deploy machine learning models to production using tools like Docker, Kubernetes, or cloud services (AWS, Azure, GCP).
- Monitor, evaluate, and improve model performance post-deployment.
- Research and Innovation:
- Stay updated with the latest developments in AI and machine learning technologies.
- Experiment with new algorithms and frameworks to enhance performance and efficiency.
- Collaboration:
- Work closely with software engineers, data scientists, and business stakeholders to align technical solutions with business goals.
- Communicate insights and technical concepts to non-technical audiences.
Qualifications:
Essential:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Strong programming skills in Python, R, or Java.
- Proficiency in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of algorithms, statistics, and data structures.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure).
Preferred:
- Experience with NLP, deep learning, or computer vision techniques.
- Familiarity with MLOps tools for model lifecycle management.
- Knowledge of big data technologies (Hadoop, Spark).
- Published research or contributions to open-source projects in AI/ML.
Soft Skills:
- Strong problem-solving and analytical abilities.
- Excellent communication and teamwork skills.
- Ability to manage multiple tasks and meet deadlines in a fast-paced environment.
Benefits:
- Competitive salary and performance bonuses.
- Health and wellness benefits.
- Professional development and learning opportunities.
- Flexible work arrangements.
Job Type: Full-time
Pay: $80,000.00 - $83,000.00 per year
Compensation Package:
- Performance bonus
Schedule:
- Monday to Friday
Work Location: In person
Salary : $80,000 - $83,000
