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Responsibilities

• Design and DevelopmentDevelop/implement/leverage AI/ML algorithms and models tailored to business needs.
  Create scalable and efficient machine learning systems and applications.
  Integrate machine learning models into software solutions using appropriate tools and frameworks.
  Ability to use Gen AAI tools and prompt engineering concepts to develop solutions
• Data Management Collect, preprocess, and analyze large datasets for training and evaluating models.
  Implement data pipelines and workflows for continuous data processing and model updates.
• Model Evaluation and Optimization Perform model validation, testing, and tuning to ensure optimal performance.
  Use advanced statistical techniques and performance metrics to improve model accuracy and reliability.
• Collaboration and Communication Collaborate with project team & other key stakeholders.
  Provide status update. Flag any issues/roadblocks ahead of time.
  Communicate complex technical concepts and solutions to non-technical stakeholders.
  Document and present findings, solutions, and outcomes effectively.

Skills

Must Have

• Proficiency in programming languages such as Python
• Strong understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning).
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of data processing tools and libraries like Pandas, NumPy, and SQL.
• Familiarity with software development methodologies (Agile, Scrum).
• Understanding and familiarity with prompt engineering
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Nice to Have

• Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI/ML models.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes).
• Understanding of natural language processing (NLP) and computer vision techniques.
• Experience in AI ethics, bias detection, and responsible AI practices.
• Proficiency in version control systems like Git.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum 2 years of experience in AI/ML software development or a related role.
• Proven track record of successfully delivering AI/ML projects from concept to deployment.

What We Offer

• Hybrid work opportunities.
• A dynamic and multicultural work culture.
• Opportunities for professional growth and development.
• Competitive salary with performance-based bonuses.