AI/ML Developer

Designation

Experience:

Opportunity Type:

Must-Have Skills for an AI/ML Engineer

Core AI/ML Skills:

• Strong Programming Proficiency:

  Python, with libraries like TensorFlow, PyTorch, Keras, Scikit-learn.

• Deep Learning Frameworks:

  Expertise in building and training deep neural networks for various tasks.

• Natural Language Processing (NLP):

  Understanding of text processing, sentiment analysis, named entity recognition, and chatbot development.

• Computer Vision:

  Knowledge of image processing, object detection, image classification, and segmentation.

• Machine Learning Algorithms:

  Familiarity with supervised, unsupervised, and reinforcement learning techniques.

• Data Preprocessing and Feature Engineering:

  Ability to clean, prepare, and transform data for modeling.

• Model Evaluation and Deployment:

  Understanding of metrics, validation techniques, and deployment strategies.

Specific Skills for the Role:

• Chatbot Development:

  Experience with building conversational agents using NLP and LLMs.

• LLM Models:

  Knowledge of large language models like GPT-3, BERT, and their applications.

• Sentiment Analysis:

  Proficiency in extracting emotions and opinions from text data.

• OCR (Optical Character Recognition):

  Understanding of extracting text from images.

• Regression Modeling:

  Skill in building predictive models for numerical outcomes.

• Azure Setup:

  Familiarity with Azure cloud platform and its AI/ML tools (Azure Machine Learning, Azure Cognitive Services).

Additional Skills (Desirable)

• Cloud Platforms:

  Experience with AWS, GCP, or other cloud providers.

• Distributed Systems:

  Knowledge of scaling models for large datasets.

• Time Series Analysis:

  Understanding of forecasting and anomaly detection.

• Reinforcement Learning:

  Experience with building agents that learn through trial and error.

• Explainable AI:

  Ability to interpret and explain model predictions.

• Ethical AI:

  Awareness of AI ethics and bias mitigation.

Must-Have Knowledge

• AI Fundamentals:

  Understanding of machine learning concepts, algorithms, and their applications.

• Data Science:

  Familiarity with data cleaning, exploration, and visualization.

• Statistics:

  Knowledge of probability distributions, hypothesis testing, and statistical inference.

• Linear Algebra and Calculus:

  Understanding of mathematical foundations for AI.

• Software Engineering Practices:

  Good coding practices, version control, and testing.

Here are some additional large language models (LLMs) that an AI/ML developer should be familiar with:

Open-Source Models

• BLOOM:

  A large-scale multilingual LLM trained on a massive dataset of text and code.

• OPT-175B:

  A massive LLM from Meta AI that is trained on a dataset of over 175 billion tokens.

• PaLM 2:

  Google's latest LLM, designed to be more accurate, versatile, and safer than previous models.

• LLaMA:

  A smaller but powerful LLM from Meta AI that is designed to be more efficient to train and run.

Proprietary Models

• LaMDA:

  Google's conversational AI model that is used in Google Assistant.

• Jasper:

  An AI writing assistant that can generate various types of content, such as blog posts, social media posts, and emails.

• Rytr:

  Another AI writing assistant that can generate content in multiple languages.

• ChatGPT:

  OpenAI's highly popular chatbot that can engage in conversation on a wide range of topics.

Perks and benefits

• 5 Days working
• Referral bonus & Performance Bonus.
• Gratuity (on top of CTC )
• No sandwich leave policy / No Bond
• Leave Encashment /Paid Parental leave.
• Employee-oriented HR policy.
• Equal Employment Opportunity Policy

Location : On site /  Sindhu Bhavan, Ahmedabad , ( Only local candidates are preferred)