MHTECHIN
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51 to 200 Employees · Aurangābād, India
Hiring: Engineering
What employees say
+ I have had a very good experience working with MHTECHIN. The team is supportive, approachable, and always willing to help when needed. The company provides excellent opportunities
− Overall, MHTECHIN is a great place for anyone looking to start or grow their career in the technology industry. I would definitely recommend MHTECHIN to freshers and professionals
More reviews on the company profile.
Interview experience · Software Engineer
First round was technical Test Second round was Technical interview Technical round is based on java and and OPPs concept Third round was HR interview In technical round they just asked me the simple Hr question
Average difficulty · Pune · 4 reports
More interview insightsJob description
Overview
Data Science Engineer
Responsibilities
- Understand business requirements and translate them into analytical and data engineering solutions.
- Collect, clean, and process structured and unstructured data from multiple sources.
- Build, train, and evaluate predictive and prescriptive models using statistical and ML techniques.
- Develop and maintain data pipelines for batch and real-time processing.
- Deploy, monitor, and optimize models in production using MLOps practices.
- Work closely with product managers, engineers, and stakeholders to deliver measurable business impact.
- 2–6 years of experience in data science, analytics, or data engineering roles.
- Strong proficiency in Python with libraries like Pandas, NumPy, scikit-learn, and SQL.
- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker).
- Hands-on experience in building and deploying ML models to production.
- Solid understanding of statistics, probability, and data visualization.
Qualifications
- Salary Range: ₹12,00,000 – ₹24,00,000 per year
Nice to have
- Experience with big data tools (Spark, Hadoop) or workflow orchestration (Airflow, Prefect).
- Knowledge of NLP, time-series forecasting, or recommendation systems.
- Familiarity with FastAPI/Flask, streaming data (Kafka/PubSub), or data warehouses (Snowflake, BigQuery, Redshift).
- Knowledge of data governance, compliance, and security practices.
- Impact: Work on projects that directly affect thousands of users across India.
- Growth: Fast-paced environment with high ownership and learning opportunities.
- Flexibility: Hybrid/remote-friendly with modern cloud and analytics stack.
Education
- About MHTECHIN
- MHTECHIN is a technology innovation firm delivering AI-powered, data-driven solutions in fintech, agri-tech, and SME enablement. As a Data Science Engineer, you will turn complex datasets into actionable insights and production-grade models that directly impact business outcomes.
Benefits
- Competitive salary with performance-based bonuses.
- Health insurance and paid leave.
- Learning and development budget.
- Modern hardware and tools for work efficiency.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Science Engineer at MHTECHIN?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. MHTECHIN may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Science Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Science Engineer remote or on-site in Pune, Maharashtra?
- This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Science Engineer role at MHTECHIN?
- This is a mid-level Data Science Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.