Job Description

: AI/ML Engineer

An AI/ML (Artificial Intelligence/Machine Learning) Engineer is responsible for designing, developing, and deploying AI and machine learning models to solve complex business problems. They work at the intersection of data science and software engineering, leveraging advanced algorithms, big data, and computational techniques to create intelligent systems.

Key Responsibilities

• Model Development and Deployment :
• Design and develop machine learning models, including supervised, unsupervised, and reinforcement learning algorithms.
• Deploy models into production environments using APIs, cloud platforms, or edge devices.
• Optimize model performance for accuracy, scalability, and latency.
• Data Processing and Analysis :
• Gather, preprocess, and clean large datasets from various sources.
• Conduct exploratory data analysis to identify patterns and insights.
• Feature engineering and selection to improve model accuracy.
• System Integration :
• Integrate ML models into existing applications or systems.
• Work with cross-functional teams, including data engineers and software developers, to ensure seamless integration.
• Research and Innovation :
• Stay updated with the latest advancements in AI and machine learning.
• Experiment with new algorithms, tools, and technologies.
• Publish findings or contribute to open-source projects.
• Performance Monitoring and Maintenance :
• Monitor deployed models to ensure they remain accurate over time.
• Retrain models as needed to adapt to changing data or requirements.
• Implement fail-safes and logging for reliable production systems.
• AI Ethics and Governance :
• Ensure AI systems adhere to ethical guidelines and regulatory standards.
• Minimize biases in datasets and models to promote fairness and inclusivity.

Key Skills and Qualifications

• Technical Skills :
• Strong proficiency in programming languages like Python, R, Java, or C++.
• Hands-on experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Knowledge of NLP, computer vision, and deep learning techniques.
• Familiarity with cloud-based ML tools (AWS SageMaker, Google AI Platform, Azure ML).
• Data Skills :
• Expertise in working with structured and unstructured data.
• Proficiency in SQL and NoSQL databases.
• Experience with big data technologies like Apache Spark, Hadoop, or Databricks.
• Mathematical Foundations :
• Strong understanding of linear algebra, probability, statistics, and optimization.
• Soft Skills :
• Problem-solving and critical thinking.
• Strong collaboration and communication skills to work effectively with multidisciplinary teams.
• Adaptability to learn new tools and technologies.
• Education :
• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
• Certifications in AI/ML (e.g., Google TensorFlow Developer, AWS ML Specialty) are a plus.

Key Tools and Technologies :

• Programming Languages : Python, R, Java, Scala, C++.
• ML Frameworks : TensorFlow, PyTorch, Scikit-learn, XGBoost.
• Data Tools : Pandas, NumPy, SQL, Spark, Hadoop.
• Cloud Platforms : AWS, GCP, Azure.
• Deployment Tools : Docker, Kubernetes, Flask/FastAPI.

Job Type: Full-time

Pay: ?25,000.00 - ?35,000.00 per month

Schedule:

• Day shift

Experience:

• total work: 2 years (Required)

Location:

• Alwar, Rajasthan (Required)

Work Location: In person