Artificial Intelligence Engineer

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 :

- 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.

Requirement :

- 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