(19/06/2024) Lead AI Engineer

2 weeks ago

Pune, Maharashtra, India Calsoft Full time
AI Lead with 8-12 years of experience.

Location:
Pune or Bangalore or Kolkata

About the Role

We are looking for an AI Engineer Lead who will spearhead our efforts in developing cutting-edge AI solutions. This role involves a blend of technical expertise, leadership, and strategic thinking

.

Key Skills

  • Python Proficiency: Demonstrable experience with Pandas and NumPy, showcasing ability to handle large datasets efficiently.
  • Advanced

SQL:
Expertise in complex SQL queries for in-depth data analysis.

  • Machine Learning: Indepth understanding of ML algorithms and metrics, with handson experience in Gen AI technologies such as GANs, OpenAI, Dall-E, Stable Diffusion, and Langchain
  • Implementation Experience: At least one substantial project involving Gen AI technologies, preferably with a tangible business impact.
  • NLP &

Computer Vision:
Solid experience in TensorFlow, PyTorch, XGBoost, spaCy, BERT, NLTK, Stanford NLP, scikit-learn, OpenCV, CNN, RNN

MLOps & CICD:
Strong concepts in integrating ML models into production environment.

  • Cloud Infrastructure: Good understanding across AWS, Azure, and Google Cloud platforms, with emphasis on ML APIs.
  • Data Security & Governance: Knowledge of data protection and regulatory compliance in the AI/ML .

Responsibilities:

  • Solution Architecture: Act as a consultant for endtoend AI/ML solutions, from data handling to technology infrastructure
  • Project Leadership: Guide teams through the AI/ML lifecycle, emphasizing practical application and operational excellence.
  • Model Development & Optimization: Create and refine models to align with business objectives, ensuring efficiency and effectiveness.
  • Data Management: Lead efforts in data exploration, cleaning, acquisition, and preprocessing.
  • Innovation: Extend ML libraries and frameworks, filling gaps to meet project needs.
  • Technical Design & Integration: Oversee the creation and maintenance of APIs, models, and integration pipelines.
  • Data Warehousing: Utilize knowledge of data warehousing techniques to enhance model performance and insights.

Communication & Consulting:
Employ strong communication skills to collaborate with clients and internal teams, providing expert advice and solutions.

What We Offer:

  • Opportunities to work on unique datasets and pioneering AI applications.
  • Professional growth through training programs, conferences, and R&D initiatives.
  • A dynamic and inclusive work culture.

Application Process:

  • Please submit your CV along with a portfolio or case studies of relevant projects.
  • Expect a multistage interview process, including technical assessments.

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