AI ML Lead
- Infobeans
- 10 - 15 years
- Indore
- 5 months ago
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Job Description
- Design AI solutions using both traditional ML and GenAI approaches based on problem needs
- Lead end-to-end implementation of ML projects including data preparation, model development, deployment, and monitoring
- Build GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks (e.g., LangChain, LangGraph)
- Conduct research and proof-of-concepts to evaluate emerging GenAI models and techniques
- Guide and mentor junior engineers; review designs, architecture, and code quality
- Develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, Cohere, etc.
- Build agentic AI systems involving tool use, memory, and reasoning frameworks
- Ensure AI models are robust, explainable, and cost-efficient in production
- Collaborate with stakeholders to understand business goals and translate them into technical solutions
- Communicate complex AI concepts to both technical and non-technical audiences.
- This is a strategic role where you will play a key part in shaping our AI offerings, guiding teams, and solving complex problems using both modern and established AI techniques.
- Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth
- Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded.
- Experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI.
- Experience in classical AI/ML and 2-3 years in GenAI, total 10 years of experience with the ability to design, research, and build scalable AI solutions across domains.
- 6-7 years in traditional ML/DL, including regression, classification, clustering, NLP, time series forecasting, and deep learning techniques such as feedforward networks, CNNs, RNNs, LSTMs, GRUs, and attention-based models for structured, unstructured, and sequential data
- 2-3 years in Generative AI (LLMs, embeddings, RAG, fine-tuning, prompt engineering)
- Experience with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers
- Understanding of ML lifecycle: data wrangling, feature engineering, model training, evaluation, and deployment
- Deep experience with LLMs such as GPT, LLaMA, Mistral, Claude, or Gemini and tools like LangChain, LangGraph, and LLamaIndex
- Experience building agentic AI solutions (e.g., AutoGPT, ReAct, CrewAI, BabyAGI)
- Proficiency with vector databases (FAISS, Pinecone, Weaviate, Chroma) and embedding models (OpenAI, Cohere, BGE, etc.)
- Excellent communication and presentation skills
- Strong research mindset with the ability to quickly learn and adapt to new GenAI technologies
- Ability to assess trade-offs between classic and generative AI techniques and recommend the best-fit approach
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Manager - Machine LearningEmployement Type: Full timeContact Details:
Company: InfobeansLocation(s): Indore
Keyskills: python presentation skills machine learning tensorflow vector cnn c++ natural language processing scikit-learn forecasting artificial intelligence sql deep learning react.js lstm data science computer vision pytorch design review opencv
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Infobeans
InfoBeans Systems is a fast growing software development company with offices in Pune and Indore and business development centre in US. We develop customized business applications for large and mid-size organizations in the US. We strongly believe that customer success defines our success. Hence, we...
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