Job Summary:

We are seeking a skilled SQL and PostgreSQL Database Administrator (DBA) to join our dynamic team. The ideal candidate will be responsible for the installation, configuration, upgrading, administration, monitoring, maintenance, and security of databases in our organization. They will ensure the integrity and availability of databases and will be involved in the planning and development of the database as well as troubleshooting any issues on behalf of the users.

Key Responsibilities:

Database Management: Install, configure, and maintain SQL Server and PostgreSQL instances and databases.
Performance Tuning: Monitor database performance, implement changes, and apply new patches and versions when required.
Backup and Recovery: Develop, manage, and test backup and recovery plans to ensure data integrity and availability.
Security Management: Implement and manage security measures to safeguard database integrity and protect against unauthorized access.
Troubleshooting: Identify and resolve database issues, ensuring minimal downtime.
Automation: Develop scripts for automation of database management tasks.
Collaboration: Work closely with development teams to optimize database queries and performance.
Documentation: Create and maintain detailed documentation of the database configurations, processes, and procedures.
Compliance: Ensure databases adhere to compliance standards and regulations.
 

Qualifications:

Education: Bachelor’s degree in computer science, Information Technology, or a related field.

Reports to:Database Administrator

Job Type: Full-Time
 

Technical Skills:
Proficiency in SQL Server and PostgreSQL database management systems.
Strong knowledge of database security, backup and recovery, and performance tuning.
Experience with database design, development, and deployment.
Familiarity with Windows and Linux operating systems.
Knowledge of SQL, T-SQL, PL/pgSQL.

Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.
Detail-oriented with strong organizational skills.
 

Job Summary: The Linux System Engineer will provide technical support and troubleshooting for Linux-based systems. This role involves working closely with customers and internal teams to resolve technical issues, optimize system performance, and ensure seamless operation of Linux environments.

Key Responsibilities:

1. Technical Support:
   • Provide first and second-level support for Linux-related issues.
   • Diagnose and resolve hardware, software, and networking issues on Linux servers and workstations.
   • Respond to and resolve tickets within defined service level agreements (SLAs).
   • Day to day activities i.e., Importing logs, processing logs, generating reports etc.
   • Monitoring Transactions & Services of different channels of customers/bank
   • Should be ready to work in shifts, & as per roster

2. System Administration:
   • Perform routine system maintenance, including updates, patches, and security configurations.
   • Manage user accounts, permissions, and access controls.
   • Make application setup ready for DR drill and ensure successful completion of same by coordinating with all stakeholders.
   • Application / Database Configurations and Installation Activities.
   • Monitor system performance and ensure the stability and reliability of the application.
   • Monitor system performance and ensure the stability and reliability of Linux environments.

3. Troubleshooting:
   • Identify and troubleshoot server hardware and software issues.
   • Analyse application and system logs to identify potential issues of the application on Linux platform.
   • Work with other IT teams to resolve any infrastructure problems.

4. Customer Support:
   • Provide excellent customer service and support to clients and end-users.
   • Assist customers with software installations, configurations, and upgrades.
   • Educate clients on best practices and usage of Linux systems.

5. Documentation:
   • Maintain up-to-date documentation on system configurations, procedures, and troubleshooting steps.
   • Create and update technical support guides and knowledge base articles.
   • Create RCAs for the issues reported.

6. Collaboration:
   • Work closely with development, network, and other technical teams to ensure seamless integration and support of applications.
   • Participate in on-call rotation and provide after-hours support as needed.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Experience: Minimum of 3 years of experience in Linux system administration and technical support.

• Technical Skills:
  • Proficiency in Linux operating systems (e.g., Red Hat, Ubuntu).
  • Strong knowledge of shell scripting and automation tools.
  • Experience with server hardware, virtualization, and cloud platforms.
  • Familiarity with networking concepts and troubleshooting (TCP/IP, DNS, DHCP, etc.).
  • Understanding of security best practices and tools (firewalls, intrusion detection, etc.).

• Certifications: Relevant certifications such as RHCSA, RHCE, CompTIA Linux+, or LPIC-1/2 are a plus.

Experience:

• 7+ years of hands-on experience in machine learning, deep learning, or data science.
• 2+ years of experience leading or managing technical teams.

Job Summary:

We are seeking an experienced and highly motivated AI/ML Manager to lead our Artificial Intelligence and Machine Learning initiatives. This role involves managing a team of data scientists, machine learning engineers, and analysts to design, develop, and deploy AI/ML solutions that drive business value. The ideal candidate will have a strong technical background combined with proven leadership and project management skills.

Key Responsibilities:

• Lead and mentor a team of AI/ML professionals in developing scalable models and algorithms.
• Collaborate with cross-functional teams (engineering, product, analytics) to integrate AI/ML solutions into products and services.
• Define and execute AI/ML strategy aligned with organizational goals.
• Oversee the end-to-end lifecycle of AI/ML projects from research and development to deployment and monitoring.
• Ensure model quality, performance, fairness, and explainability using best practices.
• Manage timelines, resources, and priorities to ensure successful delivery of initiatives.
• Stay current with the latest AI/ML trends, research, tools, and technologies.
• Present insights and results to technical and non-technical stakeholders.
• Proficient in programming languages like Python, R, or Java.
• Experience with MLOps, model deployment, and cloud platforms (e.g., AWS, GCP, Azure).
• Experience in Banking domain will be preferrable.
• Experience with Apache Kafka, ignite, Spark, or distributed systems for handling high-volume data pipelines.
• Strong understanding of GPU infrastructure requirements for training, optimizing, and deploying large-scale AI/ML and deep learning models.
• Proficiency in containerization and orchestration using Docker (Kubernetes experience is a plus).
   
• Hands-on experience with CI/CD pipelines for automating model integration, testing, and deployment in production environments.
   
• Data Handling: Pandas, NumPy, Dask, Spark MLlib

Required Qualifications:

• Bachelor of Engineering or Bachelor’s /Master’s in Computer Science, Data Science, AI/ML, or related field.
• Excellent communication and interpersonal skills.

Position Name: AI/ML Developer

No of openings: 1

Location: Thane

Experience required: 0 to 2 years.

Role Overview:

We are seeking a motivated and skilled AI/ML Developer with 0-2 years of experience to join our dynamic team. The ideal candidate will possess a strong foundation in machine learning, data analysis, and software development, coupled with a passion for leveraging data to drive insights and build cutting-edge AI solutions.

Key Responsibilities:

Machine Learning & AI Development:

• Design, develop, and implement machine learning models, including deep learning, reinforcement learning, and predictive modelling.
• Leverage frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development.
• Work on NLP projects utilizing tools like NLTK, Langchain, and large language models (GPT and LLAMA).

Data Analysis & Visualization:

• Perform data preprocessing, cleaning, and transformation for machine learning pipelines.
• Conduct data exploration and statistical analysis to derive actionable insights.
• Utilize tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations.

Statistical Modelling:

• Apply statistical techniques to analyse and interpret data, ensuring robust conclusions.
• Implement forecasting models using algorithms such as linear regression, logistic regression, gradient boosting machines (GBM), decision trees, and random forests.

API & Web Development:

• Build and deploy RESTful APIs for AI/ML model integration using frameworks like Flask, FastAPI, or Django.
• Develop user-friendly web interfaces for AI solutions using modern web technologies.

Collaboration & Communication:

• Work closely with cross-functional teams to identify and implement AI-driven solutions.
• Effectively communicate technical concepts to both technical and non-technical stakeholders.

Qualifications and Skills:

Core Skills:

• Proficient in Python and familiar with additional programming languages such as Java and JavaScript.
• Hands-on experience with machine learning algorithms, data analysis, and AI frameworks.
• Familiarity with large language models and their applications.
• Expertise in statistical analysis and tools for data exploration and visualization.

Preferred Tools & Frameworks:

• AI/ML: TensorFlow, PyTorch, Keras, scikit-learn, NLTK, Langchain.
• Data Analysis & Visualization: NumPy, Pandas, Matplotlib, Plotly, Power BI, Tableau.
• Web & API Development: Flask, FastAPI, Django.
• Cloud Platforms (optional): AWS, Azure and big data tools.
• Knowledge in distributed computing.

Preferred Qualifications:

• Bachelor's degree in computer science, Data Science, Statistics, AI/ML, or a related field.
• Previous internships or academic projects showcasing practical applications in AI/ML, data analysis, or business intelligence.

Job Summary:

We are seeking an experienced and highly motivated AI/ML Manager to lead our Artificial Intelligence and Machine Learning initiatives. This role involves managing a team of data scientists, machine learning engineers, and analysts to design, develop, and deploy AI/ML solutions that drive business value. The ideal candidate will have a strong technical background combined with proven leadership and project management skills.

Key Responsibilities:

• Lead and mentor a team of AI/ML professionals in developing scalable models and algorithms.
   
• Collaborate with cross-functional teams (engineering, product, analytics) to integrate AI/ML solutions into products and services.
   
• Define and execute AI/ML strategy aligned with organizational goals.
   
• Oversee the end-to-end lifecycle of AI/ML projects from research and development to deployment and monitoring.
   
• Ensure model quality, performance, fairness, and explainability using best practices.
   
• Manage timelines, resources, and priorities to ensure successful delivery of initiatives.
   
• Stay current with the latest AI/ML trends, research, tools, and technologies.
   
• Present insights and results to technical and non-technical stakeholders.
   
• Proficient in programming languages like Python, R, or Java.
   
• Experience with MLOps, model deployment, and cloud platforms (e.g., AWS, GCP, Azure).
   
• Experience in Banking domain will be preferrable.
   
• Experience with Apache Kafka, ignite, Spark, or distributed systems for handling high-volume data pipelines.
   
• Strong understanding of GPU infrastructure requirements for training, optimizing, and deploying large-scale AI/ML and deep learning models.
   
• Proficiency in containerization and orchestration using Docker (Kubernetes experience is a plus).
   
• Hands-on experience with CI/CD pipelines for automating model integration, testing, and deployment in production environments.
   
• Data Handling: Pandas, NumPy, Dask, Spark MLlib
   

Required Qualifications:

• Bachelor of Engineering or Bachelor’s /Master’s in Computer Science, Data Science, AI/ML, or related field.
   
• Excellent communication and interpersonal skills.

• Only Immediate joiners or candidates with a lesser notice period of 15 days are required.
• Preferred MALE Local candidates ONLY.