AI/ML Engineer

5 days ago

Bengaluru, India Admin Looks Full time

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

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