Associate AI Engineer

Job Title: Associate AI/ML Engineer

Location: Hyderabad, Telangana

Joining : The selected candidate must relocate to Hyderabad and be ready to work from the office by the end of the month (Feb 2026).

About Blurgs AI

Blurgs AI is a deep-tech startup focused on maritime and defence data-intelligence solutions, specialising in multi-modal sensor fusion and data correlation. Our flagship product, Trident, offers advanced domain awareness for the maritime, defence, and commercial sectors by integrating data from various sensors, including AIS, Radar, SAR, and EO/IR. At Blurgs AI, we foster a collaborative, innovative, and growth-driven culture. Our team is passionate about solving real-world challenges, and we prioritise an open, inclusive work environment where creativity and problem-solving thrive. We encourage new hires to bring their ideas to the table, offering opportunities for personal growth, skill development, and the chance to work on cutting-edge technology that impacts global defence and maritime operations. Join us to be part of a team that's shaping the future of technology in a fast-paced, dynamic industry.

Job Summary:

We are looking for highly motivated AI/ML Engineers to design, build, and deploy advanced machine learning solutions for large-scale, real-world data. The ideal candidate has hands-on experience in developing and optimising clustering, classification, embedding, seq2seq, and time-series models, and enjoys working across the full ML lifecycle from research and experimentation to production deployment.

Key Responsibilities

• Design and develop machine learning models for unsupervised, supervised, and self-supervised learning tasks.
• Implement and optimize clustering algorithms (e.g., k-Means, DBSCAN, spectral clustering, or deep clustering).
• Develop classification and embedding models using deep learning or traditional ML pipelines (e.g., contrastive learning, Siamese networks, transformers).
• Analyse and model time-series data for forecasting, anomaly detection, or signal decomposition.
• Build robust feature extraction, embedding, and representation learning pipelines.
• Design and maintain scalable data preprocessing, model training, and evaluation pipelines.
• Deploy models into production environments using MLOps tools and best practices.
• Perform model interpretability, bias, and drift analysis to ensure responsible and reliable ML systems.

Required Qualifications

• Around 1 years of development experience (via professional or projects ) in applied machine learning, preferably with production-level systems.
• Strong proficiency in Python and ML frameworks such as PyTorch
• Solid understanding of statistical modelling, representation learning, and feature engineering.
• Hands-on experience with clustering, classification, and embedding-based models and time-series data (e.g., LSTM, Temporal CNNs, Transformers for sequential modelling).
• Familiarity with vector databases, metric learning, or embedding retrieval systems is a plus.
• Strong problem-solving and analytical skills

Job Type: Full-time

Pay: ₹600,000.00 - ₹800,000.00 per year

Application Question(s):

• Earliest Date of Joining Possible

Experience:

• Professional: 1 year (Required)

Work Location: In person