ML / Data Science Engineer
- Uplers
- 2 - 6 years
- Pune
- 3 months ago
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Job Description
ML / Data Science EngineerExperience: 2 - 6 Years Exp.
Salary : INR 15-25 Lacs per annum
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 7:00PM IST
Opportunity Type: Onsite (Pune)
Placement Type: Permanent(*Note: This is a requirement for one of Uplers' Clients)Must have skills required :
Python, SQL, MLFlow, Pandas, Scikit-learn, XgBoost
Good to have skills :
Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, ForecastingAnervea.AI (One of Uplers' Clients) is Looking for:
ML / Data Science Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description
As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases.Youll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful.Key Responsibilities
Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods
Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior)
Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines
Build end-to-end ML pipelines for inference and batch scoring
Collaborate with AI engineers to integrate LLM-generated features with traditional models
Ensure explainability and robustness of models using SHAP, LIME, or custom logic
Validate models against real-world outcomes and client feedback
Prepare clean, structured datasets using SQL and Pandas
Communicate insights clearly to product, business, and domain teams
Document all processes, assumptions, and model outputs thoroughlyTechnical Skills Required :
Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM)
Experience with statistical modeling and classification algorithms
Solid understanding of feature engineering, model evaluation, and validation techniques
Exposure to real-world healthcare, trial, or patient data (strong bonus)
Comfortable working with unstructured data and data cleaning techniques
Knowledge of SQL and NoSQL databases
Familiarity with ML lifecycle tools (MLflow, Airflow, or similar)
Bonus: experience working alongside LLMs or incorporating generative features into ML
Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methodsPersonal Attributes :
Strong analytical and problem-solving mindset
Ability to convert abstract questions into measurable models
Attention to detail and high standards for model quality
Willingness to learn life sciences concepts relevant to each use case
Clear communicator who can simplify complexity for product and business teams
Independent learner who actively follows new trends in ML and data science
Reliable, accountable, and driven by outcomesnot just codeBonus Qualities :
Experience building models for healthcare, pharma, or biotech
Published work or open-source contributions in data science
Strong business intuition on how to turn models into product decisionsHow to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!About Our Client:
Anervea has proprietary AI-platforms and solutions that accelerates BioPharma commercialization by unlocking incremental market opportunities. The results are real-time with reduced data lag and streamlined workflows for more actionable insights throughout the product life-cycle.About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.(Note: There are many more opportunities apart from this on the portal.)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!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: UplersLocation(s): Pune
Keyskills: MLFlow Python Airflow NLP LLMs Pandas Statistical Modeling Scikit-learn XgBoost Predictive Analysis Forecasting SQL
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