Senior Data Scientist

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.

, 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