AI/ML Engineer

Job Title: AI/ML Engineer
Experience: 5+ Years
Location: Hyderabad, India
Department: Engineering / AI/ML
About The Role
We are looking for a skilled AI/ML Engineer with 5+ years of hands-on experience in developing, evaluating, deploying, and monitoring machine learning solutions.
The ideal candidate should have strong expertise in Python, machine learning frameworks, time-series forecasting, feature engineering, data preparation, and model optimization. The candidate will be responsible for taking ML models from development through production while ensuring performance, reliability, and scalability. Experience with MLOps, CI/CD, cloud platforms, Generative AI, LLMs, RAG, or Agentic AI will be an added advantage.
Key Responsibilities
Design, develop, train, evaluate, and deploy machine learning models for real-world business use cases.
Develop end-to-end ML pipelines, covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
Perform data preprocessing, cleaning, transformation, feature engineering, and exploratory data analysis.
Develop and optimize ML models using Python and frameworks such as Scikit-learn, PyTorch, and TensorFlow.
Develop Time Series Forecasting models using techniques and frameworks such as Prophet and other forecasting approaches.
Evaluate model performance using appropriate metrics and validation techniques.
Perform model optimization and hyperparameter tuning to improve accuracy, performance, and scalability.
Work with structured and unstructured datasets to identify patterns, trends, and insights.
Build reusable Python-based ML components, pipelines, and applications.
Deploy ML models into production environments and ensure their reliability and scalability.
Implement ML model monitoring to track model performance, data quality, drift, and production issues.
Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams to translate business requirements into ML solutions.
Troubleshoot model and pipeline issues and continuously improve production ML workflows.
Follow software engineering best practices including version control, testing, documentation, and code reviews.
Required Skills
5-10 years of professional experience in AI/ML, Machine Learning Engineering, Data Science, or a related field.
Strong programming experience in Python.
Strong understanding of Machine Learning concepts and algorithms.
Hands-on experience with machine learning frameworks/libraries such as:
Scikit-learn
PyTorch
TensorFlow
Experience in Time Series Forecasting, preferably using Prophet or similar forecasting frameworks.
Strong knowledge of feature engineering and data preparation techniques.
Experience with model development, training, evaluation, deployment, and monitoring.
Experience with model optimization and hyperparameter tuning.
Good understanding of statistics, probability, and data analysis.
Experience working with Pandas and NumPy.
Good knowledge of SQL and working with structured data/databases.
Strong analytical and problem-solving skills.
Good to Have
MLOps & Production Engineering
Knowledge of MLOps practices and machine learning lifecycle management.
Experience with CI/CD pipelines for ML applications.
Experience with model versioning and experiment tracking.
Experience deploying and managing ML models in production environments.
Familiarity with tools such as MLflow or similar MLOps platforms.
Experience with Docker/Kubernetes is an added advantage.
Cloud & Modern Data Platforms
Experience working with cloud platforms such as AWS, Azure, or GCP.
Exposure to modern cloud-based data platforms and data environments.
Experience with cloud-based ML services or deployment environments is an advantage.
Generative AI & Emerging Technologies
Experience with Generative AI and Large Language Models (LLMs).
Knowledge of RAG (Retrieval-Augmented Generation) architectures.
Experience with embeddings and vector databases.
Understanding of prompt engineering.
Exposure to Agentic AI / AI Agents and agent-based architectures.
Experience integrating LLMs into production applications is an added advantage.
Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, Statistics, or a related field.
5–10 years of relevant professional experience.
Strong communication and collaboration skills.
Ability to work independently and as part of a cross-functional team.
Strong interest in learning and working with emerging AI/ML technologies.
Benefits
Competitive salary and performance-based bonuses.
Comprehensive health insurance.
Paid time off and flexible working hours.
Professional development opportunities and support for continuing education. Udemy Learning Licenses to enhance skills and stay up-to-date with the latest technology.
P99soft is an equal-opportunity employer
P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.
Life@P99soft
At P99soft, we believe in creating a work environment that balances professional excellence with personal well-being. Our vibrant office culture is built on mutual respect, inclusivity, and a shared passion for innovation. We host regular team-building activities, workshops, and social events to foster a sense of community and collaboration among our employees. Join us and be part of a team that values your contributions and supports your growth
About Us
P99soft is a leading IT Services and IT Consulting company dedicated to making our customers' business operations seamless by providing them with digital services and applications using the latest technologies. We are committed to bringing excellence to all our creations. We need passion, empathy, and being customer-focused to achieve technical excellence. We believe in transparency through open communication and work with honesty and integrity while dealing with our customers and partners.
Our Vision: “To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.”
Our Mission: “To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.”
Journey towards digital transformations begins here. Our talented teams help you make informed decisions, enhance operation efficiencies, create state-of-the-art visual interfaces, and design dynamic workflows to bring a better customer experience. Our engineering teams take complete ownership of assigning the right talent and architecting solutions using the latest technologies.

Work arrangement
No