AI/ML Engineer Job Description
- Experience Required: 3–4 years
- Location: Hyderabad
- Employment Type: Full-time
About Us:
Stryv is a global technology consulting and IT services company that helps businesses modernize, optimize, and scale their digital environments. With expertise spanning cloud, AI/ML, DevOps, and full-stack development, we deliver custom solutions that empower our clients. We operate with a focus on innovation, collaboration, and transparency, tailoring strategies to help businesses evolve and thrive. We prioritize a collaborative culture where innovation and continuous learning are at the heart of everything we do.
What You Will Bring :
- 3+ years of experience as an AI/ML Engineer.
- Expertise in Python programming and experience with ML packages such as scikit-learn, pandas, and numpy for building and training models.
- Proficiency in writing SQL queries to extract and manipulate data for model training and analysis.
- Experience with predictive analytics and fraud detection models, including Logistic Regression, Gradient Boosting (e.g., XGBoost), and Random Forest.
- Familiarity with agentic AI frameworks such as LangChain and LangGraph.
- Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.
- Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
- Experience with version control systems (Git) and big data tools (e.g., Spark) is an advantage.
What You Will Do
- Design, develop, and deploy robust machine learning models in Python to solve real-world business challenges.
- Collaborate with a team of engineers and engineering leaders to implement the technical AI/ML strategy for clients across industries such as fintech, logistics, and hospitality.
- Drive end-to-end model development, from data preprocessing to deployment, ensuring seamless integration with client application platforms.
- Stay up to date with the latest developments in AI/ML and continuously improve your technical expertise to contribute to cutting-edge projects.
- Collaborate closely with cross-functional teams, including software engineers, and product managers, and leadership/exec-level stakeholders, to deliver impactful AI-driven solutions.
Required Skills & Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
- Proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch).
- Strong understanding of supervised & unsupervised learning techniques.
- Experience with time-series forecasting, classification, regression, and clustering.
- Solid understanding of statistical methods and probability.
- Familiarity with SQL and database querying.
- Knowledge of ML model deployment via APIs (Flask, FastAPI) or serving frameworks.
Good to Have
- Exposure to financial datasets or fintech use cases.
- Experience with fraud detection, or financial forecasting.
- Cloud platform experience (AWS, Azure, GCP) for ML workloads.
- Understanding of data security and compliance (GDPR, PCI DSS).