AI/ML Developer

Designation: AI/ML Engineer

Experience: 1 to 5 Year

Opportunity Type: Work from office

Job Location : Ahmedabad - Sindhu Bhavan ( Only local candidates are preferred)

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)