Harmony Data Integration Technologies Pvt. Ltd.
We are seeking a highly skilled, hands-on Machine Learning Engineer/Data Scientist with a robust background in developing, coding, and deploying advanced ML models. The ideal candidate will have demonstrable expertise in computer vision, object detection, object tracking, and NLP, with a proven track record of writing production-grade code and developing state-of-the-art models to solve complex business challenges.
Key Responsibilities:
-End-to-End ML Pipeline Development: Design, code, test, and deploy robust machine learning pipelines—from data collection and preprocessing to model training and production deployment.
-Computer Vision & Object Detection: Develop and fine-tune algorithms for computer vision applications using tools like Ultralytics YOLO and OpenCV, with hands-on experience in object detection and object tracking.
-NLP Model Development: Build and optimize NLP models for tasks such as text analysis, sentiment analysis, and language processing using frameworks like Hugging Face Transformers or spaCy.
-Cloud-Based Model Deployment: Utilize Google Cloud services, particularly Vertex AI, for scalable model development, training, testing, and deployment.
-Code Quality & Optimization: Write clean, modular, and efficient code; perform debugging, code reviews, and performance tuning to ensure scalable and maintainable codebases.
-Collaboration & Integration: Work closely with data engineering and software development teams to integrate ML models into production environments and ensure seamless deployment.
-Continuous Improvement: Stay up-to-date with the latest advancements in machine learning and AI, integrating new technologies and methods as appropriate.
-Documentation & Best Practices: Maintain thorough documentation of code, methodologies, and experiments, adhering to industry best practices and MLOps principles.
Required Skills and Qualifications:
-Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
-5+ years of professional experience in data science and machine learning with a strong emphasis on hands-on coding and model development.
-Advanced proficiency in Python, and extensive experience with ML libraries and frameworks such as TensorFlow, PyTorch, OpenCV, and Ultralytics YOLO.
-Demonstrable expertise in developing and deploying computer vision models (object detection and tracking) and NLP solutions.
-Hands-on experience with cloud platforms, especially Google Cloud (Vertex AI), for scalable ML model training and deployment.
-Strong analytical, debugging, and performance optimization skills, with a commitment to high-quality code and software engineering best practices.
-Familiarity with data annotation platforms (e.g., Roboflow) and experience in integrating these into model development workflows.
-Excellent communication and collaboration skills to work effectively in cross-functional teams.
Preferred Skills:
-Experience with MLOps practices and CI/CD pipelines for machine learning.
-Familiarity with big data technologies and distributed computing frameworks.
-Contributions to open-source projects or publications in relevant fields.
-Expertise in model interpretability, monitoring, and performance tuning in production environments.
Harmony Benefits:
-Gym Membership Benefit in partnership with Pro Ultimate Fitness Gym.
-Life Event Policy – INR 10,000 as Token for special occasion like Marriage and Child Birth.
-Milestone Policy – Bonus after completion of 4/6/8/10 years.
-Health Insurance for Self and Dependents (Spouse and Kids) with sum assured INR 5,00,000.
-Employee of the quarter Rewards (3-5 employees per month) – INR 3000 Amazon Voucher
-Certification & Training Policy – Support & Reimbursement for Certification and Trainings.
-Monthly Sports Engagement – Cricket & Football
-Team Parties – BI Monthly Team party with Lunch/Dinner
-Yearly Department Heads Dinner with Family.
-Emergency Medical Leaves in case of Medical emergencies in family.
-Festivals Celebrations
-Employees Birthday & Anniversary Celebrations
Location: Mohali, Punjab
Share your CV at careers@harmonydi.com or hr@harmonydi.com