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 data-driven strategy, creating cutting-edge 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 cross-functional 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, scikit-learn, 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, fine-tuning language models, and creating NLP-based 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, problem-solving, 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