Bangalore, Karnataka, India
Finance & Banking
Full-Time
Arting Digital
Overview
Position title:Data Science & AI Engineer
Experience:6-8 years
Notice period : 1 Month -Immediate joiner
Skills set : MLOPS,Gen AI,SLM,LLM,Python , Data science , ai engineer
Roles and responsibilities:
Experience:6-8 years
Notice period : 1 Month -Immediate joiner
Skills set : MLOPS,Gen AI,SLM,LLM,Python , Data science , ai engineer
Roles and responsibilities:
- Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems.
- Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures
- Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs.
- Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.).
- Work closely with clients to understand their data and AI needs and provide tailored solutions.
- Collaborate with cross-functional teams to integrate AI solutions into broader software architectures.
- Mentor junior team members and provide guidance in implementing best practices in data science and AI development.
- Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies.
- 5+ years of experience in data science, machine learning, and AI technologies.
- Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS.
- Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers.
- Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
- Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL).
- Experience with MLOps practices and deployment of models in production environments.
- Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets.
- Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc.
- Client-facing experience with strong communication skills to manage and engage stakeholders.
- Strong problem-solving skills and analytical mindset.
- Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members
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