AIML Engineer
AIML Engineer
Posted on :
13-04-2025
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1 Vacancy
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Job Description
Job Overview:
We are looking for a seasoned AI/ML Engineer to lead our machine learning and AI initiatives specifically those involving Python PostgreSQL and OpenAI. As a senior member of the team you will spearhead advanced ML projects architect scalable solutions and mentor junior engineers. Youll play a critical role in driving our datadriven strategy creating cuttingedge models and transforming data into actionable insights.
Working Days: From Monday to Friday
Key Responsibilities:
- Lead Model Development & Deployment:Design train and deploy advanced machine learning models for tasks such as prediction NLP and deep learning setting best practices for modeling.
- Data Architecture & Integration:Architect and optimize data storage retrieval and transformation workflows using PostgreSQL and other data solutions ensuring efficient integration with ML models.
- OpenAI & NLP Innovation:Leverage OpenAI tools to develop and deploy NLP applications for text processing summarization sentiment analysis and custom language models.
- Scalable ML Pipelines:Build robust scalable data and ML pipelines implementing MLOps practices CI/CD and automation for model training and deployment.
- Mentorship & Collaboration:Mentor junior team members providing technical guidance and fostering a collaborative environment. Work closely with crossfunctional teams including data scientists product managers and stakeholders.
- Technical Leadership & Strategy:Contribute to the strategic direction of AI/ML initiatives providing technical leadership on best practices architecture and innovation.
Requirements:
- Technical Expertise:
- Advanced proficiency in Python for machine learning with experience in libraries like NumPy Pandas scikitlearn and familiarity with TensorFlow or PyTorch.
- Deep experience with PostgreSQL for data extraction transformation optimization and integration with Python.
- Proven track record of using OpenAI API and other NLP tools; expertise in prompt engineering finetuning language models and creating NLPbased solutions.
- Experience with data engineering and architecture designing and optimizing data pipelines and workflows.
Familiarity with MLOps frameworks containerization (Docker) and cloud environments (AWS GCP or Azure).
Qualifications:
- Bachelors or Masters degree in Computer Science Data Science or a related field. Advanced degrees preferred.
- 5 years of experience in machine learning engineering or data engineering roles with a focus on building and deploying models.
- Strong analytical problemsolving and communication skills with a proven ability to translate business problems into ML solutions.
Preferred Skills:
- Experience with data warehousing ETL tools and managing data at scale.
- Proficiency in designing and implementing CI/CD pipelines.
- Knowledge of data privacy compliance and security best practices.
Interested candidates can apply by sharing their updated CV at or
Required Experience:
Junior IC
Employment Type
Full-Time
Key Skills
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