Data Science & AI Engineer

Greetings from Blue Altair!

Job Overview:

We are seeking an experienced and highly skilled Data Science and AI Engineer to join our dynamic team. The ideal candidate will have 4-6 years of experience working on cutting-edge data science and AI technologies across various cloud platforms with a strong focus to work on LLMs and SLMs. The role demands a professional capable of performing in a client-facing environment, as well as mentoring and guiding junior team members.

Title: Consultant/Sr. Consultant - Data Science Engineer

Experience: 4-6 years

Location: Pune/Bangalore (Hybrid)

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.
• Prepare technical documentation and present insights to both technical and non-technical stakeholders.

Requirement:

• 4-6 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.