Job Description

Machine Learning Engineer-Job Summary:-

As a Junior Machine Learning Engineer at Ellocentlabs, you will work closely with our experienced engineering and data science teams to develop, deploy, and maintain machine learning models and systems. This is an excellent opportunity for recent graduates or individuals with entry-level experience to grow their skills and make a significant impact in a collaborative environment.

Responsibilities:-

• Model Development : Assist in designing and developing machine learning models and algorithms to solve specific business problems.
• Data Preparation : Gather, clean, and reprocess data required for training machine learning models.
• Feature Engineering : Extract and create relevant features from raw data to improve model performance.
• Model Training and Evaluation : Train machine learning models on large datasets and evaluate their performance using appropriate metrics.
• Model Deployment : Deploy machine learning models into production environments, ensuring they are scaleless and efficient.
• Performance Optimisation : Optimise models for better performance and efficiency, considering factors like latency and resource usage.
• Monitoring and Maintenance : Monitor deployed models for performance degradation over time and maintain and update models as needed.
• Collaboration : Work closely with data scientists, data engineers, and other stakeholders to understand business needs and deliver machine learning solutions.
• Continuous Learning : Stay updated with the latest trends and advancements in machine learning and AI technologies.

Requirements:-

• Education : Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
• Technical Skills : Proficiency in programming languages such as Python, Java, or C++. Familiarity with SQL for database querying.
• Machine Learning Knowledge : Understanding of machine learning algorithms and concepts.
• Tools and Frameworks : Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-Learn.
• Analytical Skills : Strong problem-solving skills and the ability to analyze and interpret complex data.
• Communication : Strong verbal and written communication skills. Ability to explain technical concepts to non-technical audiences.
• Team Player : Ability to work effectively in a team environment and collaborate with colleagues from different disciplines.

Job Types: Full-time, Permanent, Fresher

Pay: ?180,000.00 - ?250,000.00 per year

Benefits:

• Flexible schedule
• Leave encashment
• Provident Fund

Schedule:

• Day shift
• Fixed shift
• Monday to Friday

Experience:

• Machine learning: 1 year (Required)
• Analysis skills: 1 year (Required)
• SQL: 1 year (Required)
• Python: 1 year (Required)

Work Location: In person