Machine Learning Engineer

Experience Level: 8+ years

Primary Skills (Must have skills):

• Python
• Scala
• SQL
• Databricks
• PostgreSQL2

Secondary Skills (Good to have skills):

• TensorFlow
• PyTorch
• Pandas
• NumPy
• Hadoop
• Spark
• Statistics & Probability
• Kafka3

Role Description: We are looking for an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning frameworks and tools, as well as extensive experience in data engineering and statistical analysis. You will be responsible for designing, developing, and deploying machine learning models to solve complex business problems. Collaboration with cross-functional teams, including data scientists, software engineers, and business analysts, will be essential to ensure the successful implementation of machine learning solutions.

High-level Responsibilities:

• Design and develop machine learning models using frameworks such as TensorFlow and PyTorch.
• Perform data preprocessing and feature engineering using tools like Pandas and NumPy.
• Implement and optimize data pipelines using Hadoop and Spark.
• Conduct statistical analysis and apply probability theory to validate model performance.
• Integrate machine learning models into production systems using Databricks and PostgreSQL.
• Collaborate with cross-functional teams to understand business requirements and deliver impactful solutions.
• Stay up-to-date with the latest advancements in machine learning and data science.

Qualifications:

• Education: Bachelors or master’s degree in Computer Science, Machine Learning, AI, or related fields.
• Proven experience in machine learning and data engineering.
• Proficiency in programming languages such as Python and Scala.
• Strong knowledge of SQL and experience with Databricks and PostgreSQL.
• Familiarity with machine learning frameworks like TensorFlow and PyTorch.
• Experience with big data technologies such as Hadoop and Spark.
• Solid understanding of statistics and probability.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Detailed Job Responsibilities:

Responsibilities:

1. Machine Learning Model Development:

• Design, develop, and deploy machine learning models and pipelines for various business applications.
• Ensure the models are scalable and integrate well with existing systems.
• Optimize machine learning algorithms to work within real-world constraints.

2. Data Handling and Processing:

• Collaborate with data engineers and scientists to explore and prepare data for modeling.
• Enhance data collection procedures to include information that is relevant for building analytic systems.
• Process, clean, and verify the integrity of data used for analysis.

3. Testing and Performance Tuning:

• Evaluate model effectiveness through testing and validation. o Continuously improve models based on results and business feedback.
• Implement best practices to maintain accuracy and reliability of models.

4. Collaboration and Implementation:

• Work closely with software engineers to integrate machine learning models into larger systems.
• Collaborate with product teams and business stakeholders to understand their needs and provide AI-driven solutions.

5. Research and Development:

• Stay updated with the latest machine learning techniques and approaches.
• Conduct research to innovate and implement new ML techniques and frameworks.
• Document machine learning processes, models, and programs.

Skills and Qualifications:

• Education: Bachelor’s or master’s degree in Computer Science, Machine Learning, AI, or related fields.
• Technical Skills:
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with ML libraries and frameworks (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience with data structures, data modeling, and software architecture.
• Analytical Skills: Strong problem-solving skills with a focus on complex data analysis and machine learning solutions.
• Communication Skills: Excellent interpersonal and communication skills to effectively collaborate with diverse teams.
• Adaptability: Ability to adapt to new challenges in a fast-paced environment.

Experience:

• Proven experience as a Machine Learning Engineer or similar role.
• Hands-on experience in machine learning algorithms and model development.

Work Environment:

• Typically situated in a tech-forward office environment, with potential remote work options.
• Collaborative atmosphere with frequent interactions with data teams and business units.

Requires managing multiple projects and meeting tight deadline