AI/ML Engineer

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- [email protected] or [email protected]