Talentskeet Consulting
AI/ML Engineer
AI/ML Engineer (3–6 yrs) in Bengaluru, hybrid, to build, deploy and monitor machine learning models and pipelines. Core stack: Python, TensorFlow/PyTorch/Scikit-learn, SQL, REST APIs, Docker and AWS/Azure/GCP, with preferred exposure to LLMs, RAG, LangChain and MLOps. Salary ₹4L–₹17L/yr.
- Compensation
- ₹400K–₹1.7M / yr
- Location
- Bangalore Urban
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 3–6 years of experience
- Strong programming skills in Python
- Hands-on experience with Machine Learning and Deep Learning
- Experience with TensorFlow, PyTorch, or Scikit-learn
- Strong understanding of algorithms, statistics, and data structures
- Knowledge of SQL and data processing
- Experience with REST APIs, Git, Docker, and cloud platforms (AWS/Azure/GCP)
- Good problem-solving and analytical skills
- Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or related field
Nice to have
- Experience with NLP, Generative AI, or LLMs
- Experience with LLM, RAG, LangChain, vector databases, or AI agents
- Knowledge of MLOps and CI/CD
- Experience deploying ML models at scale
Full description
Compensation: ₹4L – ₹17L
Position: AI/ML EngineerExperience: 3–6 years
Location: Bengaluru / Hybrid
Employment Type: Full-time
Job Summary
We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and AI solutions that solve real-world business problems.
Key Responsibilities
- Develop and implement machine learning models and algorithms.
- Build and optimize ML pipelines for training, evaluation, and deployment.
- Work with structured and unstructured data for predictive modeling.
- Develop AI/ML applications using Python and relevant ML frameworks.
- Deploy models into production and monitor their performance.
- Collaborate with data scientists, software engineers, and product teams.
- Perform model tuning, validation, and optimization.
- Stay updated with emerging AI/ML technologies, including Generative AI and LLMs.
Required Skills
- Strong programming skills in Python.
- Hands-on experience with Machine Learning and Deep Learning.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of algorithms, statistics, and data structures.
- Experience with NLP, Generative AI, or LLMs is an advantage.
- Knowledge of SQL and data processing.
- Experience with REST APIs, Git, Docker, and cloud platforms such as AWS/Azure/GCP.
- Good problem-solving and analytical skills.
Preferred Skills
- Experience with LLM, RAG, LangChain, vector databases, or AI agents.
- Knowledge of MLOps and CI/CD.
- Experience deploying ML models at scale.
Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.