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BATISH TECHNOLOGIES

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4.8

based on 10 Reviews

7 BATISH TECHNOLOGIES Jobs

Generative AI Developer NLP

Batish technologies Pvt Ltd

4.8

based on 10 Reviews

3-7 years

Kolkata

Generative AI Developer NLP

BATISH TECHNOLOGIES

posted 2d ago

Job Role Insights

Flexible timing

Key skills for the job

Python AWS Machine Learning Javascript Hadoop Administration Natural Language Processing

+ 8 more

Job Description

About The Role : :Generative AI Developer.

As a Generative AI Developer, you will design, develop, and deploy advanced generative AI models to solve intricate business problems.

Your expertise in machine learning, natural language processing, and generative algorithms will be pivotal in creating solutions that enhance operational efficiency, foster innovation, and deliver substantial value to our clients.

Key Responsibilities.

AI Model Development :Design and build generative AI models tailored to enterprise needs, including natural language generation, image synthesis, and data augmentation.

Data Management :Collect, preprocess, and manage large datasets to train and fine-tune AI models, ensuring high data quality and relevance.

Integration :Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, ensuring seamless deployment.

Performance Optimization :Monitor and enhance the performance of AI models, focusing on accuracy, efficiency, and scalability.

Research and Innovation :Stay updated on the latest advancements in generative AI and machine learning, and incorporate new techniques and technologies into our solutions.

Documentation :Create and maintain comprehensive documentation for AI models, development processes, and integration guidelines.

Client Interaction :Engage with clients to understand their needs, provide technical guidance, and deliver customized AI solutions.

Troubleshooting :Identify and resolve technical issues related to AI models and their deployment to minimize business disruption.

Qualifications.

Education :Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Advanced degrees (Master's or PhD) are a plus.

Experience :3+ years of experience in developing and deploying generative AI models, with a strong portfolio of relevant projects.

Technical Skills.

Generative AI Expertise :.

Proficiency in generative models like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and diffusion models.

Experience with NLP models such as transformers (e., GPT, BERT) for tasks like text generation and understanding.

Familiarity with image and video generation techniques, including deepfakes and image-to-image translation.

Machine Learning And Deep Learning.

Strong grasp of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.

Proficiency with deep learning frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers.

Programming Languages.

Advanced skills in Python for AI model development and data manipulation.

Experience with other programming languages like JavaScript, TypeScript, Java, or C++ for application development and integration.

Data Handling And Processing.

Expertise in data collection, preprocessing, and augmentation.

Experience with big data technologies and platforms (e., Hadoop, Spark) and working with APIs and data ETL from enterprise systems (e., Azure, AWS, GCP, SAP, Salesforce).

Soft Skills.

Problem-Solving :.

Strong analytical skills to address complex technical challenges and optimize AI solutions.

Communication.

Effective communication skills for collaborating with teams, explaining technical concepts to non-technical stakeholders, and documenting work.

Project Management.

Ability to manage projects from inception through deployment, including scope management, timeline tracking, and resource allocation.

Adaptability.

Willingness to learn and adapt to new technologies and methodologies in the evolving field of AI.

Team Collaboration.

Experience working in agile development environments and collaborating with diverse teams, including data scientists, developers, and business analysts.

Employment Type: Full Time, Permanent

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