Senior Artificial Intelligence Developer

2 days ago

Nashik, Maharashtra, India beBeeDataScientist Full time ₹ 20,00,000 - ₹ 30,00,000
Data Scientist Role

As a highly skilled Data Scientist, you will be responsible for designing and developing advanced machine learning models to drive business growth.

  • Developing and deploying AI/ML solutions using deep learning frameworks such as TensorFlow and PyTorch.
  • Designing and implementing large-scale data pipelines to enable real-time analytics and insights.
  • Collaborating with cross-functional teams to develop solutions that align with organizational goals.

Requirements:

  • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
  • 3+ years of experience working with cloud platforms and full-stack development.

We are looking for a talented individual who is passionate about AI/ML and has excellent problem-solving skills. If you have a strong background in computer science and statistics, we encourage you to apply.

Key Responsibilities:

  1. AI/ML Development & Research:
  2. Cloud Infrastructure & Full-Stack Development:
  3. Data Engineering & Database Management:
  4. Leadership & Collaboration:

Technical Skills:

  • Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
  • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
  • Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
  • Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
  • Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.

Required Skills:

  • Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
  • Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
  • Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).

Bonus Points:

  • Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma).
  • Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.

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