Artificial Intelligence Engineer
Artificial Intelligence Engineer
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Job Description
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 highquality 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 Rajasthans 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 cuttingedge platform utilizing Java Angular and practical IDEs frameworks and development tools. It offers a lowcode nocode approach empowering users to visually build applications with minimal coding and enhancing efficiency for both technical and nontechnical users.
Tasks
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 finetuning 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.
- Finetune large language models (LLMs) to optimize performance for specific tasks or applications.
- Collaborate with crossfunctional teams to design AIdriven solutions that address business problems.
- Analyse largescale datasets perform data preprocessing 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 endtoend 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.
- Handson experience with generative AI models and their practical applications.
- Proven ability to finetune large language models (LLMs) for specific tasks.
- Strong programming skills in Python and familiarity with libraries like Scikitlearn 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 problemsolving skills analytical thinking and attention to detail.
Preferred Skills:
- Proven experience in finetuning 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 stateoftheart computer vision models.
- Handson experience in building and deploying models in realtime 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.
Requirements
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.
- Finetune large language models (LLMs) to optimize performance for specific tasks or applications.
- Collaborate with crossfunctional teams to design AIdriven solutions that address business problems.
- Analyse largescale datasets perform data preprocessing 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 endtoend 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.
- Handson experience with generative AI models and their practical applications.
- Proven ability to finetune large language models (LLMs) for specific tasks.
- Strong programming skills in Python and familiarity with libraries like Scikitlearn 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 problemsolving skills analytical thinking and attention to detail.
Preferred Skills:
- Proven experience in finetuning 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 stateoftheart computer vision models.
- Handson experience in building and deploying models in realtime 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.
Employment Type
Full Time
