Machine Learning Engineer Contract

Machine Learning Engineer Contract

Job Description

We are looking for a skilled and innovative Machine Learning Engineer with 4–5 years of hands-on experience to join our team. You will design, build, and deploy machine learning models to solve real-world problems in collaboration with data scientists, software engineers, and business stakeholders. This is a key role in leveraging AI/ML technologies to develop scalable solutions in a dynamic and fast- paced environment.

Key Responsibilities:

  • Design, develop, and optimize machine learning models to solve complex problems.
  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to ensure data quality and insights.
  • Deploy and monitor machine learning models in production environments using cloud platforms or other tools.
  • Collaborate with cross-functional teams to define project requirements and deliverables.
  • Implement machine learning pipelines, workflows, and tools for automated training and testing.
  • Research and apply state-of-the-art algorithms to enhance model performance.
  • Ensure scalability and reliability of ML systems through efficient coding practices and architectural design.
  • Stay up-to-date with advancements in machine learning and AI technologies and assess their potential impact on the business.

Ǫualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related fields.

Experience: 4-5 years of hands-on experience in designing, building, and deploying machine learning models.

Technical Skills:

  • Strong programming skills in Python with expertise in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
  • Experience working with large datasets and using tools such as Pandas, NumPy, and Matplotlib.
  • Proficiency with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka.
  • Experience with SǪL/NoSǪL databases and data pipelines.
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes).

Preferred Ǫualifications:

  • Hands-on experience in productionizing machine learning models.
  • Prior experience in building recommendation systems, predictive analytics, or anomaly detection models.
  • Contributions to open-source ML/AI projects.
  • Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.
  • Strong mathematical and statistical background.
  • Excellent problem-solving and critical thinking abilities.
  • Ability to work independently and collaboratively within a team.
  • Strong communication skills to explain technical details to non-technical stakeholders.

Why Join Us?

  • Competitive Compensation: We offer a highly competitive salary that reflects your experience and expertise, along with performance-based incentives.
  • Innovative Culture: Be part of a fast-paced and collaborative environment where your work directly contributes to the success of our product and customer experience.
  • Shaping the Future of Healthcare with AI: Exciting opportunity to work with cutting-edge AI-powered healthcare technology that is transforming industry and improving lives.
  • Professional Growth: Opportunities for ongoing learning, development, and career progression.
  • Work-Life Balance: Flexible working hours and a culture that values both your personal and professional life.

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