AI/ML consultant

Job Summary:

As an AI/ML Engineer, you will be responsible for developing, optimizing, and deploying machine learning models, as well as leading and contributing to the design of AI-driven solutions. You will work alongside a dynamic team of engineers and data scientists to solve complex challenges using AI/ML techniques. This role requires strong programming skills, a deep understanding of machine learning algorithms, and hands-on experience in applying AI solutions to real-world business problems.

Key Responsibilities:

• Model Development & Optimization:
  • Design, develop, and deploy machine learning models for various applications, including predictive analytics, recommendation systems, natural language processing (NLP), computer vision, and time-series forecasting.
  • Optimize and fine-tune models to improve accuracy, efficiency, and scalability.
  • Implement state-of-the-art AI techniques in practical settings.
• Data Processing & Analysis:
  • Work with large datasets, performing data cleaning, feature engineering, and data exploration.
  • Utilize tools such as Pandas, NumPy, and PySpark to process and analyze structured and unstructured data.
• Collaboration & Leadership:
  • Collaborate with cross-functional teams (product, business, and engineering) to define AI/ML solutions that meet business requirements.
  • Provide mentorship to junior team members and assist in their professional development.
  • Lead end-to-end model development, including data collection, training, testing, deployment, and monitoring.
• Model Deployment & Scaling:
  • Work with DevOps and cloud engineering teams to deploy and maintain AI models in production environments.
  • Utilize tools such as Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) for model deployment and scaling.
• Research & Innovation:
  • Stay current with the latest developments in AI/ML and explore new methodologies that can be applied to real-world problems.
  • Drive the innovation and implementation of advanced AI techniques to enhance product offerings and business solutions.

Required Skills and Experience:

• Experience: 5-6 years of professional experience in AI/ML development.
• Programming Languages: Proficiency in Python, R, or Java. Experience with machine learning libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.
• Machine Learning Algorithms: Strong understanding of supervised and unsupervised learning, deep learning, reinforcement learning, and NLP.
• Data Handling: Experience working with large datasets, data preprocessing, and feature engineering. Familiarity with SQL, NoSQL, and big data tools (e.g., Hadoop, Spark).
• Cloud and Deployment: Experience with cloud computing (AWS, GCP, Azure) and deployment of machine learning models.
• Model Evaluation & Tuning: Knowledge of model evaluation techniques (cross-validation, A/B testing) and hyperparameter tuning methods (GridSearch, RandomSearch).
• Version Control & Collaboration Tools: Familiarity with Git, JIRA, and Agile development methodologies.

Preferred Qualifications:

• Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
• Experience in specific domains like NLP, computer vision, or reinforcement learning.
• Familiarity with tools like MLflow, Kubeflow, or other model management frameworks.
• Experience with MLOps practices and model monitoring in production.

Why Join Us:

• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and inclusive work environment with a strong focus on innovation.
• Competitive salary and benefits package.
• Flexible working hours and remote work options.