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Job Description

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.


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