Job Opportunities

ML Engineer

Job Title: ML Engineer
Job Code: CJD1229
Experience: 4+ years
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.
Role Overview
We are seeking a skilled Machine Learning Engineer to design, build, and deploy machine learning models and systems at scale. The role involves working closely with data scientists, software engineers, and business teams to transform data into actionable insights and production-ready ML solutions.

Key Responsibilities
Design, develop, and deploy scalable machine learning models and pipelines
Build and maintain end-to-end ML workflows (data collection, preprocessing, training, evaluation, deployment)
Collaborate with data scientists to operationalize models into production environments
Optimize model performance, accuracy, and latency
Implement data validation, monitoring, and model retraining strategies
Develop APIs and microservices to serve ML models
Work with large datasets using distributed systems and big data tools
Ensure reliability, scalability, and performance of ML systems
Maintain proper documentation and version control for models and pipelines
Design and implement Generative AI solutions using Large Language Models (LLMs).
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
Build AI agents and workflow automation using modern AI frameworks.
Required Skills
Strong understanding of machine learning algorithms and statistical modeling
Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)
Experience with data structures, algorithms, and software engineering principles
Knowledge of data preprocessing and feature engineering techniques
Experience with SQL and databases
Familiarity with cloud platforms (AWS, Azure, or GCP)
Experience managing ML lifecycle using tools such as MLflow, Weights & Biases, Kubeflow, or similar platforms.
Experience with CI/CD pipelines and version control (Git)
Familiarity with ETL/ELT workflows and data orchestration platforms.
Preferred Skills
Experience with big data tools (Spark, Hadoop)
Knowledge of deep learning, NLP, or computer vision
Experience deploying models using REST APIs or microservices frameworks (FastAPI, Flask)
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Experience with LLM frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
Experience in model monitoring and drift detection
Soft Skills
Excellent communication and teamwork abilities.
Strong problem-solving and analytical skills.
Attention to detail and quality
Ability to work in cross-functional teams.
Qualifications
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.