Gen ai

Pracyva Consulting Services; Pune District, Mumbai, Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Pracyva Consulting Services seeks a senior Data Scientist with 7–8 years of experience in Data Science and Machine Learning. The role emphasizes deep learning, generative AI, NLP, and cloud deployment across Azure, AWS, or GCP.

Candidate should excel in data engineering, trusted AI practices, and cross-functional collaboration to translate business needs into scalable AI solutions. The ideal professional stays updated with AI research, communicates effectively with stakeholders, and upholds data

Qualifications

• Minimum 7–8 years of experience in Data Science and Machine Learning
• In depth knowledge of ML, DL and generative AI techniques
• Proficiency in Python and TF or PyTorch
• Strong NLP understanding with BERT, GPT or Transformer models
• Experience deploying AI solutions on cloud (Azure, AWS, GCP)
• Expertise in data engineering: data curation, cleaning, preprocessing
• Knowledge of trusted AI practices: fairness, transparency, accountability
• Collaborates effectively with engineering teams for deployment
• Excellent problem-solving and analytical abilities to translate business needs
• Strong communication and stakeholder collaboration
• Awareness of data privacy, security and ethical considerations in AI
• Keeps up with latest AI research and advancements

Skills

Data Science & ML expertise

Deep learning & generative AI

Python & ML frameworks

NLP & transformer models

Cloud platforms (Azure AWS GCP)

Data engineering (curation & cleaning)

Trusted AI: fairness & accountability

Engineering collaboration

Analytical & problem solving

Communication with stakeholders

Data privacy & AI ethics

Staying updated with AI research

Job description

Technical Requirements

• Minimum 7 8 years of experience in Data Science and Machine Learning
• In depth knowledge of machine learning deep learning and generative AI techniques
• Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch
• Strong understanding of NLP techniques and frameworks such as BERT GPT or Transformer models
• Experience with cloud platforms such as Azure AWS or GCP and deploying AI solutions in a cloud environment
• Expertise in data engineering including data curation cleaning and preprocessing
• Knowledge of trusted AI practices like fairness transparency and accountability in AI models and systems
• Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models
• Excellent problemsolving and analytical skills with the ability to translate business requirements into technical solutions
• Strong communication and interpersonal skills with the ability to collaborate effectively with stakeholders at various levels
• Understanding of data privacy security and ethical considerations in AI applications
• Track record of driving innovation and staying updated with the latest AI research and advancements

Good to Have Skills

• Knowledge andor hands on experience in Cyber domain AI applications
• Vulnerability Management tools such as AquaSec Qualys Wiz Check Marx and MS Defender
• Knowledge of secure software development lifecycle SSDLC processes
• Apply trusted AI practices to ensure fairness transparency and accountability in AI models and systems
• Knowledge on DevOps and MLOps practices covering continuous integration deployment and monitoring of AI models
• Implement CICD pipelines for streamlined model deployment and scaling processes
• Utilize tools such as Docker Kubernetes and Git to build and manage AI pipelines
• Implement monitoring and logging tools to ensure AI model performance and reliability

Role & responsibilities

Preferred candidate profile