Sr. AI/ML Engineer

Job highlights

• Experience building RESTful APIs using Django,Flask,or FastAPI . . Hands-on experience with GenAI models,especially using LLM APIs for inference
• Required Skills Qualifications: . 5+ years of hands-on experience in AI / ML and deep learning
• Proficient in scikit-learn,pandas,NumPy,and frameworks like TensorFlow-Keras or PyTorch .

Location: Hyderabad

Work Mode: Work FromOffice

Title: AI/ML Senior Engineer

We are looking for a highly skilled and experienced Sr. AI/ML Engineer with deep technical expertise in machine learning, deep learning, Generative AI and Agentic AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders.

Key Responsibilities:

• Lead the design, development, and deployment of ML/DL models for real-world applications.
• Apply advanced techniques such as ensemble learning, transformers, GANs, LSTMs , and reinforcement learning .
• Work across diverse domains like NLP, computer vision , or recommendation systems based on project needs.
• Build scalable APIs and services using Flask , Django , or FastAPI .
• Collaborate with data engineering teams to ensure data readiness for model training and evaluation.
• Evaluate and fine-tune models using techniques like cross-validation, hyperparameter tuning , and performance metrics.
• Drive GenAI adoption by leveraging LLM APIs for inference and contribute to LLM training and deployment (if applicable).
• Document solution architecture, workflows, and technical implementation details clearly.
• Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams.

Required Skills Qualifications:

• 5+ years of hands-on experience in AI/ML and deep learning.
• Strong programming skills in Python and good understanding of object-oriented programming .
• Deep knowledge of neural networks including GANs, transformers, LSTMs , etc.
• Proficient in scikit-learn, pandas, NumPy , and frameworks like TensorFlow-Keras or PyTorch .
• Experience with version control tools such as Git and GitHub .
• Solid skills in data visualization tools like Matplotlib , Seaborn , or similar.
• Familiarity with SQL and NoSQL databases .
• Experience building RESTful APIs using Django , Flask , or FastAPI .
• Hands-on experience with GenAI models, especially using LLM APIs for inference.
• Certifications in AI/ML or cloud-based AI platforms ( AWS, GCP, Azure ).
• Good understanding of model evaluation techniques and performance metrics.
• Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics.
• Experience in MLOps tools like MLflow, Kubeflow, or Weights Biases
• Oil Gas, refinery operations financial services exposure is preferred