AI Engineer

Job Timing :

Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break )

Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break )

As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools.

Key Responsibilities:

• Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies.
• Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models.
• Collaborate with engineering teams to integrate models into production systems.
• Apply best practices for model training, tuning, evaluation, and optimization.
• Develop and maintain pipelines for data ingestion, feature engineering, and model deployment.
• Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions.
• Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems.
• Continuously stay up-to-date with the latest AI/ML technologies and research trends.

Qualifications:

Required:

• Proven experience as a Data Scientist, Machine Learning Engineer, or similar role.
• Strong expertise in building and deploying machine learning models across various use cases.
• In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others.
• Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning.
• Expertise in model training, fine-tuning, and hyperparameter optimization.
• Strong programming skills in Python, R, or similar languages.
• Solid understanding of model evaluation metrics and performance tuning.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras.
• Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot.
• Strong experience with data wrangling, feature engineering, and preprocessing techniques.
• Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders.

Preferred:

• PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks).
• Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc.
• Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform.
• Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models.
• Knowledge of reinforcement learning (RL) algorithms and practical application experience.
• Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators.
• Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment.

Additional Tools & Technologies (Preferred Experience):

• Natural Language Processing (NLP):

  OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face

• Machine Learning Frameworks:

  TensorFlow, PyTorch, Keras, Scikit-Learn

• Big Data Processing:

  Hadoop, Spark, Databricks, Dask

• Cloud Platforms:

  AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson

• Automation & Deployment:

  Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD

• Visualization & Analysis:

  Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas

• Database

  : RDBMS, NoSQL

• Version Control:

  Git, GitHub, GitLab

Why Join Us:

• Innovative Projects:

  Work on groundbreaking AI solutions and cutting-edge technology.

• Collaborative Team:

  Join a passionate, highly skilled, and collaborative team that values creativity and new ideas.

• Growth Opportunities:

  Develop your career in an expanding AI-focused company with continuous learning opportunities.

• Competitive Compensation:

  We offer a competitive salary and benefits package.