Verified Job
IT / Software / Data Analyst
Ai/m
IT / Software / Data Analyst
#667389
Remote / WFH
Job Description
Systango Technologies Limited (NSE: SYSTANGO) is a digital engineering company that offers enterprise-class IT and product engineering services to different size organizations. At Systango, we have a culture of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Sila, Cuentas, Youtility, Porsche, MGM Grand, Deloitte, Grindr, and Tawk.to are some of the top clients that have entrusted us to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, possible and we do it literally.
• *Job Summary**:
• *Key Responsibilities**:
- ** AI/ML Development**:
- Build and deploy advanced AI/ML models using Python-based libraries and frameworks.
- Implement machine learning techniques, including ensemble methods, reinforcement learning, and neural networks.
- ** Deep Learning Expertise**:
- Design and optimize deep learning models using architectures such as GANs, LSTMs, and transformers.
- ** Generative AI**:
- Utilize Generative AI models for inferencing with LLM APIs.
- ** Data Processing and Management**:
- Work with structured and unstructured datasets using Pandas, NumPy, and other data manipulation libraries.
- Manage data storage and retrieval using SQL and NoSQL databases.
- ** Model Evaluation and Optimization**:
- Perform cross-validation, hyperparameter tuning, and evaluation of model performance metrics to ensure robustness and accuracy.
- ** Data Visualization and Reporting**:
- Create data visualizations using tools like Matplotlib and Seaborn to effectively communicate findings.
- ** API Development**:
- Develop RESTful APIs for deploying AI/ML models using frameworks like Django, Flask, or FastAPI.
- ** Version Control**:
- Maintain code repositories and manage collaborative workflows using Git and GitHub.
- ** Big Data Integration (Optional)**:
- Work with big data technologies like Hadoop or Spark for large-scale data processing.
• *Required Skills**:
- Proficiency in Python programming.
- Expertise in AI/ML libraries like Scikit-learn, TensorFlow, Keras, and PyTorch.
- Advanced machine learning techniques and algorithms.
- Deep learning knowledge with GANs, transformers, and LSTMs.
- Experience with Generative AI and LLM APIs.
- Strong skills in SQL and NoSQL databases.
- Proficient in data visualization tools (e.g., Matplotlib, Seaborn).
- Experience in cross-validation, hyperparameter tuning, and performance metrics.
- Hands-on experience with API development using Django, Flask, or FastAPI.
- Excellent communication and collaboration skills.
• *Preferred Skills**:
- Experience with LLM training and deployment.
- Knowledge of big data tools like Hadoop and Spark.
• *Job Summary**:
• *Key Responsibilities**:
- ** AI/ML Development**:
- Build and deploy advanced AI/ML models using Python-based libraries and frameworks.
- Implement machine learning techniques, including ensemble methods, reinforcement learning, and neural networks.
- ** Deep Learning Expertise**:
- Design and optimize deep learning models using architectures such as GANs, LSTMs, and transformers.
- ** Generative AI**:
- Utilize Generative AI models for inferencing with LLM APIs.
- ** Data Processing and Management**:
- Work with structured and unstructured datasets using Pandas, NumPy, and other data manipulation libraries.
- Manage data storage and retrieval using SQL and NoSQL databases.
- ** Model Evaluation and Optimization**:
- Perform cross-validation, hyperparameter tuning, and evaluation of model performance metrics to ensure robustness and accuracy.
- ** Data Visualization and Reporting**:
- Create data visualizations using tools like Matplotlib and Seaborn to effectively communicate findings.
- ** API Development**:
- Develop RESTful APIs for deploying AI/ML models using frameworks like Django, Flask, or FastAPI.
- ** Version Control**:
- Maintain code repositories and manage collaborative workflows using Git and GitHub.
- ** Big Data Integration (Optional)**:
- Work with big data technologies like Hadoop or Spark for large-scale data processing.
• *Required Skills**:
- Proficiency in Python programming.
- Expertise in AI/ML libraries like Scikit-learn, TensorFlow, Keras, and PyTorch.
- Advanced machine learning techniques and algorithms.
- Deep learning knowledge with GANs, transformers, and LSTMs.
- Experience with Generative AI and LLM APIs.
- Strong skills in SQL and NoSQL databases.
- Proficient in data visualization tools (e.g., Matplotlib, Seaborn).
- Experience in cross-validation, hyperparameter tuning, and performance metrics.
- Hands-on experience with API development using Django, Flask, or FastAPI.
- Excellent communication and collaboration skills.
• *Preferred Skills**:
- Experience with LLM training and deployment.
- Knowledge of big data tools like Hadoop and Spark.
