AI Developer

3 weeks ago


Hyderabad, Telangana, India Achala IT Solutions Pvt Ltd Full time

Summary :


We are seeking a talented and experienced AI Developer to join our team. As an AI Developer, they will be responsible for designing, developing, and implementing cutting-edge artificial intelligence solutions to solve complex business problems.


They will work closely with cross-functional teams to understand requirements, design scalable AI models, and deploy them into production environments.


The ideal candidate should have a strong background in machine learning, deep learning, and software development, with a passion for innovation and problem-solving.

About Company :


Achala IT Solutions Pvt. Ltd. was founded in 2009. It has been providing high-quality IT services to various customers across the globe in BI/Analytics/Alpha Labs. Achala is trusted by several Fortune 500 companies having 400+ employees globally. It is Head-Quartered in India, and has its prominence in the USA, Germany, and Bulgaria too. Our key affiliations span across various industries, including Automotive, Healthcare, FinTech, Retail, Supply Chain & Logistics.

Job Requirement :

  • Develop and implement machine learning algorithms and models to address business challenges.
  • Adept in Programming Language Python, 'R' and Julia
  • Solid understanding of machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, scikit-learn or Keras. This includes regression, classification, clustering, neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), etc.
  • Skills in data manipulation, preprocessing, and cleaning are important.
  • Good experience on tools like pandas, NumPy, and SQL for handling and querying data is necessary.
  • Data Visualization concepts - Ability to effectively visualize and interpret data using libraries like Matplotlib, Seaborn, and Plotly helps in gaining insights from data and communicating results.
  • Proficiency in NLP (Natural Language Processing) techniques and libraries such as NLTK, spaCy, and Transformers is valuable for tasks involving text analysis, sentiment analysis, language translation, etc.
  • Knowledge of computer vision techniques and libraries like OpenCV, Dlib, and TensorFlow Object Detection API is important for tasks involving image and video analysis.
  • Familiarity with version control systems like Git is essential for collaborative development and managing codebase.
  • Good understanding of software engineering principles such as modularization, code reusability, testing, and debugging is important for building scalable and maintainable AI systems.
  • Good exposure working with cloud platforms like AWS, Azure, and Google Cloud Platform, and services like AWS SageMaker, Azure Machine Learning, and Google Colab is useful for deploying and scaling AI models.
  • Deployment & DevOps: Skills in deploying AI models into production environments using containers (e.g., Docker) and orchestration tools (e.g., Kubernetes) are becoming increasingly important.
  • Awareness of ethical and legal considerations surrounding AI development, such as bias in AI models, data privacy, and regulatory compliance, is essential for responsible AI development.
  • Continuous learning and staying updated with the latest advancements in AI technologies are also important.
  • Experience with big data technologies and distributed computing frameworks, is preferred.
  • Excellent problem-solving skills and ability to work effectively in a collaborative team environment.
  • Strong communication and interpersonal skills.

(ref:hirist.tech)
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