Posted:3 weeks ago|
Platform:
On-site
Full Time
Job Information
Date Opened
Job Type
Industry
Work Experience
City
State/Province
Country
Zip/Postal Code
Job Description
Job Description:
We are looking for a skilled and driven Machine Learning Engineer with 4+ years of experience to design, develop, and deploy ML solutions across business-critical applications. You’ll work alongside data scientists, software engineers, and product teams to create scalable, high-impact machine learning systems in production environments.
Build, train, and deploy ML models for tasks such as classification, regression, NLP, recommendation, or computer vision.
Convert data science prototypes into production-ready applications.
Design and implement ETL/data pipelines to support model training and inference.
Optimize models and pipelines for performance, scalability, and efficiency.
Collaborate with DevOps/MLOps teams to deploy and monitor models in production.
Continuously evaluate and retrain models based on data and performance feedback.
Maintain thorough documentation of models, features, and processes.
4+ years of hands-on experience in machine learning, data science, or AI engineering roles.
Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
Solid understanding of ML algorithms, data preprocessing, model evaluation, and tuning.
Experience working with cloud platforms (AWS/GCP) and containerization tools (e.g., Docker).
Familiarity with SQL and NoSQL databases, and working with large-scale datasets.
Strong problem-solving skills and a collaborative mindset.
Good to Have:
Experience with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).
Knowledge of deep learning, transformers, or LLMs.
Familiarity with streaming data (Kafka, Spark Streaming) and real-time inference.
Exposure to ElasticSearch for data indexing or log analytics.
Interest in applied AI/ML innovation within domains like fin-tech, healthcare, or ecommerce.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
SquareShift Technologies
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Vadodara
3.0 - 7.0 Lacs P.A.
Hyderabad
5.0 - 9.0 Lacs P.A.
Hyderābād
3.0 - 8.0 Lacs P.A.
Sholinganallur, Tamil Nadu, India
Salary: Not disclosed
Chennai, Tamil Nadu, India
Salary: Not disclosed
Vadodara
4.55 - 6.16387 Lacs P.A.
Vadodara, Gujarat
Experience: Not specified
Salary: Not disclosed
pune, maharashtra
Salary: Not disclosed
Chennai
6.0 - 10.0 Lacs P.A.
Pune
4.0 - 8.0 Lacs P.A.
