AI ML Research Engineer

Litmus7 Systems Consulting; Thiruvananthapuram; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Litmus7 Systems Consulting is seeking an AI/ML Research Engineer to lead the development of state-of-the-art AI models and translate theoretical ideas into production-ready solutions. You will collaborate with a multidisciplinary team to explore novel approaches, apply advanced data analysis, and push the boundaries of graph- and neural-based AI.

The role requires deep knowledge of ML algorithms, Python, and major libraries, with a track record of rigorous experimentation and willingness to

Qualifications

• Strong background in AI/ML research and problem solving.
• Proficient in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience turning theoretical models into production-ready solutions.
• Excited to publish research in conferences and journals.

Responsibilities

• Collaborate within a multidisciplinary team to invent new technologies and algorithms.
• Uncover intricate patterns within data and apply advanced techniques.
• Map data into the ML algorithmic space for model development.
• Conceptualize and engineer ML and DL systems for innovation.
• Improve existing algorithms to address complex problems.
• Execute unit tests on developing packages to ensure reliability.
• Conduct ML tests and experiments to explore novel approaches.
• Train and retrain systems as needed for continuous improvement.
• Conduct literature reviews to stay at the forefront of developments.
• Analyze findings and contribute to publication of research papers.
• Engage in regular team meetings to share progress and brainstorm improvements.
• Demonstrate strong foundation in data structures, algorithms, and software architecture.
• Deep understanding of ML algorithms and advanced learning methods.
• Thrive in a dynamic research environment with curiosity and proactivity.
• Strong knowledge of probability, statistics, and linear algebra.
• Craft robust Python code for scalable solutions.
• Familiarity with TensorFlow, PyTorch, and scikit-learn.

Skills

Python

Machine learning

Deep learning

Research

Data structures

Algorithms

Statistics

Linear algebra

Communication

Collaboration

Tools

TensorFlow

PyTorch

scikit-learn

Job description

We are seeking an AI/ML Research Engineer with a profound passion for the field of artificial intelligence. This role is ideal for someone who views challenges as milestones waiting to be surpassed, who approaches problem-solving with both creativity and precision, and whose passion for AI and ML is matched by an outstanding technical skill set. You will lead the charge in developing state-of-the‑art AI models, optimizing performance, and transitioning theoretical models into production‑ready solutions.

Areas of Research

• Graph Self‑Supervised Learning
• Temporal Graph Learning.
• Multi‑modal graph representation learning
• HIIL DRL Techniques for conversational intelligence
• Mechanistic interpretation of LLMs
• Topological Deep Learning
• Cognitive Assessment using AI Techniques
• Autonomous Knowledge Graphs
• Neuro‑symbolic AI
• AGI
• Federated Graph Neural Networks

Responsibilities

• Collaborate seamlessly within a multidisciplinary team of researchers to invent new technologies and algorithms based on identified needs, contributing to the company's cutting‑edge advancements in the field.
• Uncover intricate patterns within data and apply advanced techniques to quantitatively analyze information.
• Map data into the appropriate machine learning algorithmic space, ensuring optimal representation for model development.
• Conceptualize and engineer machine learning and deep learning systems, pushing the boundaries of innovation in algorithmic design.
• Enhance and elevate existing state‑of‑the‑art machine learning algorithms to address complex problems.
• Execute rigorous unit tests on developing packages, ensuring the reliability and robustness of the implemented solutions.
• Conduct comprehensive machine learning tests and experiments, leveraging a keen research mindset to explore novel approaches.
• Train and retrain systems as needed, incorporating adaptability and foresight into the continuous improvement process.
• Conduct thorough literature reviews, staying at the forefront of the latest developments in the specified research areas.
• Analyze and interpret research findings, actively contributing to the publication of groundbreaking research papers in prestigious conferences and journals.
• Engage proactively in regular team meetings to share progress, address challenges, and brainstorm potential improvements.
• Profound comprehension of data structures, algorithms, and software architecture, showcasing a strong foundation in computational principles.
• In‑depth understanding of machine learning algorithms, reflecting a keen insight into the intricacies of advanced learning methodologies.
• Proven ability to thrive in a dynamic research environment, showcasing adaptability, curiosity, and a proactive approach to tackling complex challenges.
• Advanced knowledge of probability, statistics, and linear algebra, underlining a solid theoretical background crucial for cutting‑edge research.
• Proficient in crafting robust Python code, highlighting the capacity to develop efficient and scalable solutions.
• Familiarity with leading machine learning libraries such as TensorFlow, PyTorch, and scikit‑learn, illustrating a hands‑on approach to leveraging state‑of‑the‑art tools.
• Exceptional communication skills, enabling the effective dissemination of complex concepts to both technical and non‑technical audiences.
• Collaborative spirit with a demonstrated ability to work seamlessly within a team, fostering an environment conducive to shared innovation.
• Outstanding analytical and problem‑solving prowess, emphasizing a strategic and innovative mindset essential for pushing the boundaries of research in AI and related fields.