AI/ML Engineer - SSE/LSE

GAVS Technologies N.A., Inc; Pune District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

GAVS Technologies N.A., Inc in Pune, Maharashtra, India invites applications for an AI/ML Engineer (SSE/LSE). You will support data collection, cleaning, and preparation, perform EDA, and assist in developing basic ML models.

You will help translate insights into dashboards using Tableau or Power BI and collaborate with data scientists and engineers to deliver data-driven solutions. The role emphasizes learning and applying modern techniques in a fast-paced environment.

Qualifications

• Education in a quantitative field (Data Science/Statistics/CS/Math/Engineering).
• Programming in Python or R.
• Experience with data manipulation libraries (Pandas/NumPy).
• Solid SQL skills for querying databases.
• Statistical concepts, hypothesis testing, and probability basics.
• Familiarity with ML fundamentals and core algorithms.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication; ability to explain technical concepts to non-technical audiences.
• Teamwork and collaboration with cross-functional teams.

Responsibilities

• Data collection, extraction, and integration from diverse sources.
• Data cleaning, preprocessing, and wrangling for quality and readiness.
• Perform Exploratory Data Analysis and create descriptive stats and visuals.
• Assist in developing, testing, and evaluating ML models; support feature engineering.
• Help with model validation and performance monitoring.
• Translate insights into clear, actionable outputs; create dashboards with Tableau/Power BI or Matplotlib/Seaborn.
• Collaborate with data scientists, data engineers, and business analysts; participate in team discussions and knowledge sharing.

Skills

Python

R

SQL

Pandas

NumPy

Statistics

Machine Learning

Data Visualization

Communication

Teamwork

Education

Bachelor's or Master's degree in Data Science/Statistics/CS/Math/Engineering

Tools

Tableau

Power BI

Matplotlib/Seaborn

Git

Job description

## AI/ML Engineer - SSE/LSE03-03-2026 15:07:10Job\_3032895 - 8 years* Pune, Maharashtra, India (PUN)**Key Responsibilities:****Data Collection & Preparation:****Assist in gathering, extracting, and integrating data from various sources (e.g., databases, APIs, external files).****Perform data cleaning, preprocessing, and wrangling to ensure data quality, consistency, and readiness for analysis.****Identify and address data inconsistencies, missing values, and outliers.****Exploratory Data Analysis (EDA):****Conduct exploratory data analysis to understand data structures, identify patterns, trends, and relationships.****Generate descriptive statistics and create visualizations to communicate initial findings.****Model Development & Implementation (Supportive Role):****Assist in the development, testing, and evaluation of statistical models and basic machine learning algorithms (e.g., regression, classification).****Support the feature engineering process, transforming raw data into features for model training.****Help with model validation and performance monitoring.****Insights & Reporting:****Translate analytical findings into clear, concise, and actionable insights for both technical and non-technical stakeholders.****Create data visualizations, dashboards, and reports using tools like Tableau, Power BI, or Matplotlib/Seaborn to effectively present results.****Collaboration & Learning:****Work closely with senior data scientists, data engineers, business analysts, and other cross-functional teams to understand business problems and deliver data-driven solutions.****Actively participate in team meetings, discussions, and knowledge-sharing sessions.****Continuously learn and stay updated with the latest data science techniques, tools, and best practices.****Required Skills & Qualifications:****Education: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related discipline.****Programming: Proficiency in at least one programming language commonly used in data science (e.g., Python, R).****Data Manipulation: Experience with data manipulation libraries (e.g., Pandas, NumPy in Python).****Database Skills: Solid understanding of SQL for querying and managing databases.****Statistical Foundation: Basic understanding of statistical concepts, hypothesis testing, and probability.****Machine Learning Fundamentals: Familiarity with core machine learning concepts and common algorithms.****Problem-Solving: Strong analytical and problem-solving skills with attention to detail.****Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.****Teamwork: Ability to work effectively in a collaborative team environment.****Preferred (Nice-to-Have) Skills:****Experience with data visualization tools (e.g., Tableau, Power BI).****Familiarity with cloud platforms (e.g., AWS, Azure, GCP) or big data technologies (e.g., Spark, Hadoop).****Experience with version control systems (e.g., Git).****Completed relevant data science projects (academic or personal portfolio).**