Machine Learning

• Deep understanding of AI, Gen AI, Big Data, Analytics, complex Software Engineering concepts.
• Should have more than 3 years of experience of working in product development organizations with a proven experience of developing enterprise scale products in a highly agile/scrum environment.
• Excellent Critical thinking, Analytical & Solutioning skills.
• Hands – on technical executor with a track record of building and growing data science teams.

Careers

Full-Time

• Application Design and Design Patterns
• Performance Engineering
• Model Deployment and Evaluation
• ML frameworks such a PyTorch and Tensorflow

Careers

Full-Time

• Must have Python knowledge, JavaScript frameworks
• BI – Dash, Grafana, PowerBI, Spotfire, (Good to have)
• UI – HTML5, AngularJS, ReactJS etc. (Any one)
• Good have Spark, Java, .Net, SQL/ NoSQL databases

Careers

Full-Time

• Creating and maintaining ML pipelines to operationalize ML models.
• Developing & deploying low latency and highly scalable dockerized micro services.
• Collaborating in cross-functional software/architecture design sessions to find the best solutions for the problems that we are facing.
• Working with Peer ML engineers who will be responsible for scaling and deploying machine learning models for Tide.

Careers

Full-Time

• 2+yrs of industry experience as a machine learning and software engineer
• Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
• Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.

Careers

Full-Time

• Collaborate on real-world projects
• Assist in data collection and pre-processing
• Implement and fine-tune machine learning models, and contribute to algorithm development.
• Strong programming skills, familiarity with popular ML libraries

Careers

Full-Time

• Understanding of RESTful API principles with hands-on experience in API integration.
• Exposure to machine learning libraries/frameworks such as scikit-learn and Tensor Flow.
• Familiarity with version control systems, particularly Git.
• Understanding of database systems and proficiency in SQL/NoSQL

Careers

Full-Time

• Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps.
• Monitoring Build & Production systems using automated monitoring and alarm tools.
• Knowledge of machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn.
• Experience with MLOps tools such as ModelDB, Kubeflow, Pachyderm, and Data Version Control

Careers

Full-Time

• Expert in SQL & Python
• Should know building ML models end to end, cloud infrastructure on AWS/Azure, Data bricks to host models, coupled with GIT
• Knowledge of any BI Tool
• Combination of structured & unstructured data, image recognition & audio data

Careers

Full-Time

• Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch
• We are looking for someone with proficiency in Python programming
• Solid understanding of relational databases, SQL, and No-SQL databases.
• Experience with unstructured data like images & text is a plus

Careers

Full-Time