AI Engineer

Solytics Infotech; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Solytics Partners Careers seeks a motivated AI Engineer in Pune, India, with 3–5 years of experience. The role involves designing, developing, and deploying machine learning models for financial crime detection and risk analytics, collaborating with data engineers and product teams. Candidates should possess strong skills in Python, cloud computing, and ML libraries. The position offers opportunities to work in cutting-edge AI technologies, contributing to regulatory compliance and operational efficiency.

Qualifications

• 3-6 years of professional experience in AI/ML engineering or relevant data science roles.
• Proven experience in building and deploying ML models in production.
• Excellent analytical and problem-solving skills.
• Strong communicator capable of collaborating across technical and business teams.

Responsibilities

• Design, develop, and validate ML/AI models for anomaly detection, fraud detection, and risk scoring.
• Lead model deployment, monitoring, and scaling on cloud platforms (AWS, GCP, Azure).
• Support model versioning, testing, validation, and documentation.
• Present insights and technical recommendations to teams.

Skills

Python

ML/AI libraries (Scikit-Learn, TensorFlow, PyTorch)

Cloud computing (AWS, Azure, GCP)

Docker

Kubernetes

Data processing frameworks (SQL, Spark)

Statistical learning

Model interpretability and explainability frameworks

Problem-solving skills

Communication skills

Job description

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‑edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.

Our offerings enable clients to streamline and future‑proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Job Summary

We are seeking a highly motivated AI Engineer with 3–5 years of experience to join our dynamic AI & Data Science team. You will work on building and operationalizing machine learning and AI models that power next‑generation solutions in risk analytics, financial crime detection, model governance, and regulatory compliance. You will collaborate closely with data engineers, domain experts, and product teams to design scalable, production‑ready AI systems.

Key Responsibilities

• Design, develop, and validate ML/AI models for use cases such as anomaly detection, fraud detection, risk scoring, and predictive analytics.
• Research and prototype new algorithms to improve performance, robustness, and explainability.
• Lead model deployment, monitoring, and scaling on cloud platforms (AWS, GCP, Azure).
• Integrate models into application pipelines and data workflows.
• Work with large, complex datasets; perform cleaning, transformation, feature extraction, and feature selection.
• Collaborate with data engineering to optimize data pipelines.

Model Lifecycle & Governance

• Support model versioning, testing, validation, and documentation to meet internal and regulatory standards.
• Implement monitoring for model drift, performance degradation, and bias detection.
• Partner with domain experts in financial risk, AML, compliance, and business stakeholders to align AI solutions with business needs.
• Present insights, findings, and technical recommendations to cross‑functional teams.

Key Requirements

Technical Skills

• 3–6 years of professional experience in AI/ML engineering or relevant data science roles.
• Strong command of Python and ML/AI libraries (e.g., Scikit‑Learn, TensorFlow, PyTorch).
• Proven experience in building and deploying ML models in production.
• Experience with cloud computing (AWS, Azure, or GCP), Docker, Kubernetes.
• Working knowledge of data processing frameworks (e.g., SQL, Spark).

AI/ML Expertise

• Solid understanding of statistical learning, supervised/unsupervised learning, and deep learning.
• Experience with model interpretability and explainability frameworks.

Soft Skills

• Excellent analytical and problem‑solving skills.
• Strong communicator capable of collaborating across technical and business teams.