Machine Learning Developer

Company Details

(C.N) is an established organization aiming to lift itself at a bigger level along with buoyant standard growth, fostering positivity and commitment towards augmentation. The team of machine learning developers works closely with data scientists, software engineers, and product managers to deliver cutting-edge solutions that enhance products and services. Along with it, they ensure quality and scalability for model training.

Job Description

We are seeking a dedicated machine learning developer to play a key role in the field of artificial intelligence focusing on the development and deployment of models that can automate complex tasks and processes. The candidate should possess a deep understanding of the algorithm, data structures and other methods utilizing to create models capable of performing image classification, speech recognition, and market focusing. The candidate should be active enough to take up challenges related to the development and be responsible for integrating and handling real-time scalability. The candidate should have strong problem-solving abilities and critical thinking. They must be able to analyze complex data sets, derive meaningful insights, and translate these insights into actionable solutions. Effective communication is also crucial, as they often need to explain technical concepts to non-technical stakeholders and document their processes comprehensively for future reference.

Staying updated with the latest advancements in machine learning and artificial intelligence is essential for ML Developers. The candidates should be active in exploring new algorithms, tools, and frameworks that could enhance their models. This ongoing learning and experimentation are vital for keeping their skills relevant and for driving innovation within their organization. Overall, The candidate will be playing a challenging role where their expertise not only contributes to broader goals of leveraging AI but also to improving efficiency.

Responsibilities

• Should be responsible for creating and refining machine learning models for various applications
• Collaborating with other team members accordingly ensuring data quality and consistency
• Identify relevant features from raw data improving model accuracy and efficiency.
• Implementing machine learning models into production environments
• Should be responsible for working with software engineers to integrate effective applications and systems
• Monitoring the performance of deployed models and maintaining over time
• Should be responsible for maintaining proper communication through presentations, discussions, and knowledge-sharing
• Documentation and other processes including algorithms and performance metrics.
• Up to date with the latest advancements in machine learning and reframing models whenever required.

Education

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

Required Skills & Experience

• Prior experience in developing and deploying machine learning models. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is highly desirable.
• Should be Proficient in programming languages such as Python, R, or Java. Strong knowledge of libraries and tools like scsci-kit-learn pandas, NumPy, and Spark.
• The candidate should have a robust understanding of statistics, probability, linear algebra, and calculus. Ability to apply these concepts to develop and evaluate machine learning models.
• Experience with data manipulation, cleaning, and preprocessing. Familiarity with SQL and NoSQL databases, as well as data warehousing solutions.
• Strong analytical and problem-solving skills. Ability to think critically and creatively to develop innovative solutions.
• Excellent verbal and written communication skills. Ability to work effectively in a team environment and convey technical information to non-technical stakeholders.
• The candidate should be highly skilled with cloud platforms including AWS, Google clCloudor Azure
• Knowledge of technologies including Hadoop, spank, or Kafka is a must.