We are looking for a highly skilled and experienced AI/ML Developer with 45 years of hands-on experience to join our technology team.
You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions.

Develop And Implement AI/ML Models

The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine Responsibilities :

Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics.

Model Optimization And Evaluation

Continuously improve existing models for performance, accuracy, and scalability.

Data Preprocessing And Feature Engineering

Collect, clean, and preprocess structured and unstructured data from various sources.
Engineer relevant features to improve model performance and interpretability.

Collaboration And Communication

Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals.
Communicate technical insights clearly to both technical and non-technical stakeholders.

Model Deployment And Monitoring

Deploy models to production using MLOps practices and tools (e., MLflow, Docker, Kubernetes).
Monitor live model performance, diagnose issues, and implement improvements as needed.

Staying Current With AI/ML Advancements

Stay informed of current research, tools, and trends in AI and machine learning.
Evaluate and recommend emerging technologies to maintain innovation within the team.

Code Reviews And Best Practices

Participate in code reviews to ensure code quality, scalability, and adherence to best practices.
Promote knowledge sharing and mentoring within the development Skills and Qualifications :
Must have experience as a team lead.
Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
45 years of experience in machine learning, artificial intelligence, or applied data science roles.
Strong programming skills in Python (preferred) and/or R.
Proficiency in ML libraries and frameworks, including :
scikit-learn
XGBoost, LightGBM
TensorFlow or Keras
PyTorch
Skilled in data preprocessing and feature engineering, using :
pandas, numpy, sklearn.
preprocessing
Practical experience in deploying ML models into production environments using REST APIs and containers.
Familiarity with version control systems (e., Git) and containerization tools (e., Docker).
Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure.
Understanding of software development methodologies, especially Agile/Scrum.
Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications

(ref:hirist.tech)

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