Senior AI/ML Engineer
2 days ago
Location: Pune
Type: Full-time
Experience: 2–5 Years
Job Summary:
We are seeking a passionate and skilled AI/ML Engineer with 2–5 years of experience in building intelligent systems using Python, Agentic AI frameworks, Genetic AI algorithms, and advanced analytics. The ideal candidate will have a strong foundation in machine learning, a good grasp of emerging agentic architectures (e.g., AutoGPT, LangGraph, etc.), and practical experience applying evolutionary computation and analytics to real-world problems.
Key Responsibilities:
- Design, build, and deploy AI/ML models to solve complex business problems.
- Develop and integrate Agentic AI systems (e.g., autonomous agents, multi-agent orchestration, task planning).
- Research and implement Genetic AI algorithms (e.g., evolutionary strategies, neuroevolution, genetic programming).
- Apply advanced analytics techniques (statistical modeling, optimization, simulation) for insight generation and decision support.
- Write clean, modular, and efficient Python code for data pipelines, model training, and inference workflows.
- Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI solutions into production systems.
- Continuously monitor and improve model performance, scalability, and interpretability.
- Stay current with the latest trends and developments in AI, agentic systems, and computational intelligence.
Required Skills:
- 2–5 years of hands-on experience in AI/ML engineering or applied machine learning.
- Proficiency in Python and key ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- LangChain, LangGraph, AutoGPT, MetaGPT, CrewAI, etc.
- Genetic Algorithms, NEAT, CMA-ES, or similar.
- Strong foundation in machine learning, optimization, and statistics.
- Experience in advanced analytics, including time-series analysis, clustering, regression, classification, or simulation.
- Familiarity with LLMs and prompt engineering is a plus.
- Experience with APIs, RESTful services, and model deployment (Docker, FastAPI, etc.)
- Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools is a plus
Preferred Qualifications:
- Master's or Bachelor's degree in Computer Science, AI, Data Science, or related field.
- Vector databases (e.g., FAISS, Pinecone)
- Knowledge graphs and symbolic reasoning
- Reinforcement learning or multi-agent systems
- Contributions to open-source AI/ML projects or research publications.
What We Offer:
- Competitive salary and performance bonuses
- Flexible remote or hybrid work options
- Access to cutting-edge AI/ML research and projects
- Learning and development support (conferences, courses, etc.)
- Collaborative, innovation-driven culture
Job Type: Full-time
Application Question(s):
- What is your current CTC?
- How soon you can join us. Mention in days.
Experience:
- Analytics: 2 years (Preferred)
- Python: 3 years (Required)
- Agentic AI: 3 years (Required)
- Genetic AI: 3 years (Required)
Work Location: In person
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