Experience: 3.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Saxecap)

(*Note: This is a requirement for one of Uplers client - Saxecap)

What do you need for this opportunity

Must have skills required:

classical ML, LLM, Deep Learning, Python, Model, Fine Tuning, NLP, Generative AI

Saxecap is Looking for:

We are looking for a Machine Learning Engineer with strong foundations in machine learning and deep learning to build, fine-tune, and deploy ML models from scratch. This role is not focused on LLMs, prompt engineering, or GenAI. Instead, the emphasis is on ML algorithms, feature engineering, model optimization, and production ML systems.

Key Responsibilities

Design, build, train, and fine-tune machine learning models using traditional ML and deep learning techniques

Work on supervised, unsupervised, and semi-supervised learning problems

Perform feature engineering, feature selection, and data preprocessing on structured and semi-structured data

Implement and optimize models such as:

Linear / Logistic Regression

Decision Trees, Random Forest, Gradient Boosting (XGBoost, LightGBM, CatBoost)

SVM, k-NN, Naive Bayes

Time-series and forecasting models (ARIMA, Prophet, LSTM if applicable)

Build and fine-tune deep learning models (CNNs, RNNs, LSTMs, GRUs) where required

Evaluate models using appropriate metrics and improve performance through hyperparameter tuning

Deploy models into production and monitor performance, drift, and retraining needs

Collaborate with data engineers, product, and business teams to translate requirements into ML solutions

Why Join Saxecap

Work directly with global leadership from Stanford, Harvard, and Wharton.
Build AI-first products that drive transformation across industries.
Opportunity to be an early member of a fast-growing India technology team.
Competitive compensation with performance-based variable pay.
Culture of ownership, autonomy, and collaboration not hierarchy

How to apply for this opportunity

Step 1: Click On Apply! And Register or Login on our portal.
Step 2: Complete the Screening Form & Upload updated Resume
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Machine Learning Engineer

Machine Learning Engineer

Lead Machine Learning Engineer

Machine Learning Engineer MLE Python

Python + Machine Learning developer

Sr Machine Learning Engineer