Experience: 4.00 + years
Salary: INR 4300000-4500000 / year (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Novaex.ai)
(*Note: This is a requirement for one of Uplers client - Novaex.ai)
What do you need for this opportunity?
Must have skills required:
Commodities Derivatives TimeSeries Forecasting MLOps, Time Series Analysis, sentiment analysis, LSTM OR RAG OR Modelling
Novaex.ai is Looking for:
Job Title: Machine Learning Engineer – Architecting Market Intelligence
Location: Remote (Preference for Bangalore)
The Mission
The global commodities market operates in a storm of noise. Prices are driven not just by supply
and demand, but by a complex interplay of geopolitical events, breaking news, and market
microstructure. At Novaex.ai, we are building the definitive AI-powered operating system to decode
this complexity. We don’t just want to display data; we want to predict its movement.
We are looking for an exceptional Machine Learning Engineer (Minimum 4-6 years experience) to
join our core technical team. This is not a role for someone who wants to tweak hyperparameters
on static datasets. This is a role for a builder who wants to deploy multi-modal models that ingest
real-time chaos - price ticks, news sentiment, and volume flows, and output clear, actionable
trading signals. You will help build the predictive brain of our platform.
Your Mandate
Reporting to the Founding Technical Lead, you will bridge the gap between quantitative research
and production engineering. You will own the full lifecycle of our predictive models, from hypothesis
to live signal generation.
Your core responsibilities will include:
- Building the Predictive Core: Design and deploy state-of-the-art time-series models (LSTMs,
GRUs, CNNs, Transformers) to forecast price, volume, and volatility. You will work directly with
tick-level and intraday data to capture market dynamics.
- Decoding Market Sentiment: Construct robust NLP pipelines to extract signal from noise. You
will build systems that perform sentiment classification, event detection, and entity
extraction on diverse unstructured data sources - from corporate announcements to social
media and analyst commentary.
- Multi-Modal Fusion: Solve the challenge of combining hard numbers with soft signals. You
will develop multi-modal models that fuse sentiment scores with market microstructure
(order books, quotes) and technical features (OHLCV) to generate superior trading signals.
AEONIS TECHNOLOGY PRIVATE LIMITED
Registered Address: A-1301, PLOT NO 6,SECTOR 11,
NAVI MUMBAI, Ghansoli, Rabale, Thane- 400701
Phone:+91 22-35536537 | Website: www.novaex.ai
_________________________________________________________________________________________
- Rigorous Backtesting & Validation: You will ensure our models survive reality. You will lead the
backtesting framework, using statistical evaluation to stress-test models across different
market regimes to ensure robustness and minimize overfitting.
- End-to-End ML Operations: You will be responsible for the code that runs the models. You will
manage data ingestion, feature engineering, training, and deployment. Furthermore, you will
build the dashboards and alerting systems necessary to track model drift, latency, and
performance in real-time.
What You Bring
We are seeking a high-potential engineer who combines strong theoretical knowledge with the
ability to ship production-grade code. The ideal profile includes:
- Deep Learning Proficiency: 4-6 years of hands-on experience with Python and frameworks
like PyTorch or TensorFlow, specifically applied to time-series forecasting and sequence
modeling.
- Quant & Data Fluency: You are comfortable working with financial datasets (OHLCV, tick
data, order books). You understand concepts like market microstructure, volatility surfaces,
and derived indicators.
- NLP Expertise: Experience with modern NLP techniques (Transformers, HuggingFace,
BERT/RoBERTa) for sentiment analysis and text classification.
- Statistical Rigor: You don’t just look at accuracy; you understand precision, recall, Sharpe
ratios, and the dangers of look-ahead bias. You know how to validate a model properly.
- Engineering Discipline: You can build the pipelines that feed the models. Experience with
data processing tools (Pandas, NumPy) and an understanding of MLOps best practices
(model versioning, monitoring) is essential.
- Curiosity: You are fascinated by the markets. You want to understand why a price moved,
and how to teach a machine to see it coming.
The Opportunity
This is a rare opportunity to apply advanced ML to a high-stakes, real-world domain within a
fast-moving startup. We offer a competitive compensation package including a strong salary and
equity. You will work alongside industry veterans and brilliant engineers, building a product where
your algorithms directly impact strategic decision-making. At Novaex, you arent just training
models; you are engineering the future of commodity intelligence.
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, dont hesitate to apply today. We are waiting for you!