Senior ML Engineer

Nagpur, Maharashtra, India

                                                                                                                                                                       Senior ML Engineer (5 Years of Experience)

Company Overview:

Accrualify India Pvt. Ltd is a leading technology company specializing in financial software solutions. We provide innovative tools to streamline and automate financial processes for businesses worldwide. As we continue to expand our operations, we are seeking a highly skilled and experienced Data Analyst to join our dynamic team in India.

Position: Senior ML Engineer

Location: Nagpur, Maharashtra, India (Office-based)

Employment Type: Full-time

Job Summary:

As a Senior ML Engineer at Accrualify India Pvt. Ltd, you will play a crucial role in analysing, interpreting and building ML models to drive informed business decisions. You will be responsible for developing and implementing OCR solutions, analzing complex datasets, and providing valuable insights to support our business objectives. Your expertise in statistical techniques, data mining, and reporting will contribute to optimizing efficiency and quality within our organization.

Responsibilities:

• Interpret and analyse data using statistical techniques to identify trends, patterns, and insights.

• Develop and implement databases, data collection systems, and data analytics strategies to optimize statistical efficiency and quality.

• Own the project and the team under you.

• Acquire data from primary and secondary sources to build models.

• Build, train and deploy models into Production systems.

• Clean and filter data by reviewing computer reports, printouts, and performance indicators to identify and correct code problems.

• Collaborate with management to prioritize business and information needs.

• Identify and define new process improvement opportunities based on data analysis findings.

• Develop and present ongoing reports and dashboards to stakeholders, highlighting key insights and recommendations.

• Utilize reporting packages, databases, and programming languages (such as SQL, Python, or R) for data analysis and visualization.

• Stay updated with the latest trends and advancements in data analysis techniques and tools.

Requirements:

• Bachelor's degree in computer science, Statistics, Mathematics, or a related field. A master's degree is a plus.

• Minimum of 5 years of proven working experience as MLEngineer or Data Science Engineer, preferably in a technology or finance-related industry.

• Strong technical expertise in data models, database design development, data mining, and segmentation techniques.

• Proficiency in reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming languages (e.g., Python, R frameworks).

• Knowledge of statistics and experience using statistical packages for analysing datasets (e.g., Excel, SPSS, SAS).

• Exceptional analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

• Proficient in querying databases, report writing, and presenting findings effectively to both technical and non-technical stakeholders.

• Strong problem-solving abilities and a proactive mindset to identify opportunities for process improvements.

• Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.

• Experience in building OCR models is an advantage.

Join our team at Accrualify India Pvt. Ltd and contribute to revolutionizing financial software solutions through data-driven insights. If you possess the necessary skills and experience, we invite you to apply by submitting your updated resume and a cover letter highlighting your relevant accomplishments.

Note: Only shortlisted candidates will be contacted for further steps in the selection process.

Accrualify India Pvt. Ltd is an equal opportunity employer. We value diversity and encourage candidates from all backgrounds to apply.