Artificial Intelligence Engineer

SAG Infotech Private is a Jaipur based IT development and service company that specializes in accounting software products and services. Founded in 1999, Our organization is committed to providing high-quality accounting software, and service for professionals like Chartered Accountants (CA), Company Secretaries (CS), HR Managers, and more.

Our software, including Genius and Gen GST software, is being used by thousands of professional companies and individuals around the country. Apart from accounting software, we provide web and mobile development services to various other industries. Recently SAG Infotech has also come up with SAG RTA, Rajasthan's first Registrar and Share Transfer Agent and category 1st RTA Services Provider in Jaipur.' SAG Infotech product portfolio also includes SDMT LCAP/LCNC Platform for Website and Apps Development.

It is a cutting-edge platform utilizing Java, Angular, and practical IDEs, frameworks, and development tools. It offers a low-code no-code approach, empowering users to visually build applications with minimal coding and enhancing efficiency for both technical and non-technical users.

We are looking for an experienced Data Scientist / AI Developer with a strong foundation in classical machine learning, deep learning, natural language processing (NLP), and generative AI. You will be responsible for designing and implementing AI models, including fine-tuning large language models (LLMs), and developing innovative solutions to solve complex problems in a variety of domains.

Key Responsibilities:

• Develop and implement machine learning models and deep learning algorithms for various use cases.
• Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis.
• Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks.
• Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications.
• Collaborate with cross-functional teams to design AI-driven solutions that address business problems.
• Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation.
• Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies.
• Present findings and insights to stakeholders in a clear and actionable manner.

• Build and maintain end-to-end machine learning pipelines for scalable deployment.

Required Skills:

• Strong expertise in supervised and unsupervised machine learning techniques.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling.
• Hands-on experience with generative AI models and their practical applications.
• Proven ability to fine-tune large language models (LLMs) for specific tasks.
• Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas.
• Experience in handling large datasets and working with databases (SQL, NoSQL).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
• Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction.

• Strong problem-solving skills, analytical thinking, and attention to detail.

Preferred Skills:

• Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance.
• Expertise in computer vision techniques, including object detection, image segmentation, and classification.
• Proficiency with YOLO algorithms and other state-of-the-art computer vision models.

• Hands-on experience in building and deploying models in real-time applications or production environments.

Qualifications:

• 5+ years of relevant experience in AI, ML, NLP, or related fields.

• Bachelors or Masters degree in Computer Science, Statistics, or a related discipline.

Location: Jaipur (WFO)

Candidate Preferably from Jaipur.

Key Responsibilities:

• Develop and implement machine learning models and deep learning algorithms for various use cases.
• Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis.
• Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks.
• Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications.
• Collaborate with cross-functional teams to design AI-driven solutions that address business problems.
• Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation.
• Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies.
• Present findings and insights to stakeholders in a clear and actionable manner.

• Build and maintain end-to-end machine learning pipelines for scalable deployment.

Required Skills:

• Strong expertise in supervised and unsupervised machine learning techniques.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling.
• Hands-on experience with generative AI models and their practical applications.
• Proven ability to fine-tune large language models (LLMs) for specific tasks.
• Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas.
• Experience in handling large datasets and working with databases (SQL, NoSQL).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
• Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction.

• Strong problem-solving skills, analytical thinking, and attention to detail.

Preferred Skills:

• Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance.
• Expertise in computer vision techniques, including object detection, image segmentation, and classification.
• Proficiency with YOLO algorithms and other state-of-the-art computer vision models.

• Hands-on experience in building and deploying models in real-time applications or production environments.

Qualifications:

• 5+ years of relevant experience in AI, ML, NLP, or related fields.

• Bachelors or Masters degree in Computer Science, Statistics, or a related discipline.

Location: Jaipur (WFO)

Candidate Preferably from Jaipur.