Move Forward

Job Description:

We are looking for a skilled and passionate AI Developer to design, develop, and implement AIpowered solutions that drive innovation and efficiency across our products and services. You will work closely with data scientists, software engineers, and product teams to bring cuttingedge machine learning models and AI applications into production.

Key Responsibilities:

• Design and build AI/ML models to solve real-world business problems.
• Develop and optimize algorithms for tasks such as natural language processing, computer vision, predictive analytics, or recommendation systems.
• Collaborate with cross-functional teams to integrate AI solutions into applications and platforms.
• Deploy models using cloud services (e.g., AWS, Azure, GCP) or containerized environments (e.g., Docker, Kubernetes).
• Stay up to date with the latest AI/ML research, tools, and frameworks.
• Monitor and evaluate model performance and retrain as needed.
• Ensure data privacy, security, and ethical AI practices.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2+ years of experience in AI/ML development (can be adjusted based on level).
• Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn, etc.).
• Experience with data preprocessing, model training, validation, and deployment.
• Familiarity with APIs, RESTful services, and model serving frameworks (e.g., FastAPI, Flask, TorchServe).
• Proficiency with SQL and NoSQL databases.
• Understanding of software engineering best practices: version control (Git), CI/CD pipelines, etc.

Job Description

• Work closely with business stakeholders to gather, analyze, and document requirements for NetSuite implementations and enhancements.
• Configure and customize NetSuite to align with business requirements using standard tools (e.g., SuiteBuilder, SuiteFlow, SuiteScript—if functional scripting knowledge is expected).
• Lead workshops, training sessions, and user acceptance testing (UAT).
• Translate business requirements into functional specifications and work with technical teams to deliver solutions.
• Provide ongoing post-implementation support and troubleshooting.
• Develop reports, saved searches, and dashboards for business insights.
• Manage data migration, cleansing, and imports during implementation.
• Collaborate with third-party vendors or partners when required.
• Stay up-to-date on NetSuite updates, best practices, and new features.
• Experience in NetSuite implementation lifecycle: requirements gathering, configuration, testing, training, and support.
• Excellent problem-solving skills and ability to translate business needs into system solutions.
• Strong communication and stakeholder management skills.

Job Description

• Identify and pursue new business opportunities through lead generation, cold outreach, networking, and inbound inquiries.
• Understand client needs and propose tailored software solutions that meet their technical and business objectives.
• Conduct presentations to prospective clients.
• Collaborate with pre-sales and technical teams to create proposals, SOWs, and RFP responses.
• Negotiate contracts, pricing, and terms in line with company policies.
• Maintain strong relationships with existing clients to drive upsell/cross-sell opportunities and ensure customer satisfaction.
• Stay updated with market trends, competition, and emerging technologies.
• Track sales pipeline, activities, and forecasts using CRM tools.
• Experience with selling AI solutions is a plus.

Job Description:

A Data Scientist is required to be proactive in developing and implementing machine learning models, analyzing large datasets, and delivering data-driven solutions. The role also requires cross-functional collaboration to ensure the highest standards in AI and Generative AI solutions.

Key Responsibilities:

• Understand the values and vision of the organization.
• Protect the Intellectual Property.
• Adhere to all policies and procedures.
• Develop and implement machine learning models and algorithms, particularly in the areas of AI and Generative AI.
• Analyze large, complex datasets to extract actionable insights and identify trends.
• Monitor model performance and conduct ongoing optimization and tuning.
• Evaluate and deploy AI solutions, ensuring robustness, scalability, and performance.
• Utilize Python and other relevant tools to manipulate data and build predictive models.
• Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.
• Stay updated with the latest advancements in AI and Generative AI and incorporate them into projects.

Required Skills & Experience:

• Strong proficiency in Python programming and its libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Experience with deep learning frameworks and neural networks.
• Solid understanding of machine learning algorithms and statistical methods.
• Ability to work with large datasets and perform data preprocessing, cleaning, and transformation.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with natural language processing (NLP) and computer vision techniques.

Job Description:

Data Engineer is required to be proactive in designing, building and maintaining data systems. The role also requires cross-functional collaborations and ensure highest standards of data quality and performance by extending his expertise in data engineering, data architecture, pipeline creation and big data technologies.

Key Responsibilities:

• Understand the values and vision of the organization.
• Protect the Intellectual Property.
• Adhere to all the policies and procedures.
• Design, develop, and maintain scalable data pipelines for data ingestion, processing and storage.
• Build and optimize data architectures and data models for efficient data storage and retrieval.
• Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
• Ensure data integrity, quality, and security across all data systems.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
• Document data processes, architectures, and data flow diagrams.
• Implement and maintain data integration solutions using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).

Required Skills & Experience:

• Expertise on Data Integration, processing & Storage.
• Expertise on Data optimization architecture, data process and data flow.
• Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services.
• Experience with data visualization tools (e.g., Tableau, Power BI).

Job Description:

As a DevOps Engineer, you will lead in designing, implementing, and maintaining our DevOps infrastructure. Using your expertise in continuous integration, deployment, and automation, you'll work with cross-functional teams to streamline development processes and improve system reliability. Responsibilities include managing cloud infrastructure, implementing configuration management best practices, ensuring application security and scalability.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines to automate and optimize software development and deployment processes.
• Deploy, monitor, and maintain AI/ML models in production, ensuring scalability, security, and high availability.
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for AI-driven applications, ensuring cost-effectiveness and performance.
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or similar tools.
• Monitor system performance, troubleshoot issues, and ensure 99.9% uptime for AI services.
• Enhance containerization and orchestration strategies using Docker and Kubernetes.
• Implement security best practices, ensuring compliance with industry standards and regulations.
• Automate and streamline deployment, configuration management, and system monitoring.
• Collaborate with AI/ML engineers, data scientists, and software developers to ensure seamless integration of AI models.
• Set up logging, monitoring, and alerting solutions using Prometheus, Grafana, ELK stack, or similar tools.

Required Skills & Experience:

• Sound Experience in DevOps, Cloud Engineering, or Infrastructure Automation.
• Expertise in cloud platforms – AWS, Azure, or Google Cloud.
• Strong hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI).
• Proficiency in containerization (Docker) and orchestration (Kubernetes, Helm).
• Experience with Infrastructure as Code (IaC) – Terraform, Ansible, CloudFormation.
• Strong scripting skills in Python, Bash, or PowerShell for automation.
• Knowledge of security best practices – IAM, firewalls, encryption, vulnerability scanning.
• Experience in monitoring/logging tools – Prometheus, Grafana, ELK stack, Datadog.
• Familiarity with networking concepts, load balancing, and DNS management.
• Certifications in AWS (AWS Certified DevOps Engineer), Azure (Azure DevOps Engineer), or Kubernetes (CKA, CKS, EKS) would be preferred.

Job Description:

We are seeking a skilled IT SecOps Engineer with 3-5 years of experience to strengthen our security operations team. The ideal candidate will demonstrate expertise in IT security, a passion for safeguarding critical systems, and the ability to thrive in a fast-paced environment. This role involves managing and enhancing the organization's security posture, responding to incidents, and collaborating with cross-functional teams to ensure the safety and integrity of our IT infrastructure.

Key Responsibilities:

• Protect the Intellectual Property.
• Adhere to all the policies and procedures.
• Monitor and manage security tools and platforms to identify and address threats in real time.
• Respond to security incidents, perform root cause analysis, and implement preventive measures.
• Conduct regular security assessments, including vulnerability scanning and penetration testing.
• Maintain and optimize firewalls, intrusion detection/prevention systems, and endpoint protection solutions.
• Develop, implement, and maintain security policies, procedures, and guidelines.
• Collaborate with IT and development teams to design secure network and system architectures.
• Stay updated on emerging cybersecurity threats and implement necessary defenses.
• Prepare incident reports and security performance metrics for internal and external stakeholders.
• Facilitate security awareness training for employees.
• Manage compliance with security standards and regulatory requirements.

Required Skills & Experience:

• Strong knowledge of cybersecurity frameworks (e.g., NIST, ISO 27001).
• Proficiency in scripting languages (e.g., Python, Bash) for automation and reporting.
• Experience with cloud security (AWS, Azure, or Google Cloud).
• Familiarity with tools such as Splunk, Palo Alto, or CrowdStrike.

Job Description:

We are hiring for a Penetration Tester with a minimum of 5 years of hands-on experience in penetration testing and vulnerability assessment./B.Tech. in Computer Science, Information Security, or a related field. Advanced certifications such as OSCP, CEH, or CISSP are preferred.

Key Responsibilities:

• Conduct comprehensive penetration testing of networks, web applications, mobile applications, and other systems to identify security vulnerabilities.
• Perform vulnerability assessments and provide detailed recommendations for remediation.
• Develop and execute security test plans, scenarios, and scripts to simulate real-world attacks.
• Collaborate with development and IT teams to understand security requirements and integrate security testing into the software development lifecycle.
• Prepare detailed reports of findings, including risk analysis and recommended mitigations, and present these findings to stakeholders.

Required Skills & Experience:

• Minimum of 5 years of hands-on experience in penetration testing and vulnerability assessment.
• B.E./B.Tech. in Computer Science, Information Security, or a related field. Advanced certifications such as OSCP, CEH, or CISSP are preferred.
• Proficiency in using penetration testing tools such as Metasploit, Burp Suite, Nmap, Nessus, Wireshark, and others.
• Strong understanding of network protocols, network and application security architectures, and common vulnerabilities (e.g., OWASP Top Ten).
• Experience with scripting languages such as Python, Ruby, Bash, or PowerShell.
• Familiarity with operating systems (Windows, Linux) and their security features.

Job Description:

We’re hiring a Data Engineering Architect with strong expertise in Medallion Architecture and Azure Cloud to lead end-to-end data platform modernization. This role involves designing scalable solutions, leading cloud migrations, and setting up secure, governed data pipelines.

Key Responsibilities:

• Architect data pipelines and platforms using Medallion Architecture.
• Lead on-premise to Azure cloud migration projects.
• Build and manage ETL/ELT workflows using ADF, Synapse, Databricks, ADLS.
• Define and enforce Role-Based Access Control (RBAC) and data governance policies.
• Automate cloud infrastructure using Terraform.
• Collaborate with cross-functional teams (data science, BI, DevOps).
• Optional but nice-to-have: Build dashboards using Power BI, Tableau, etc.

Tech Stack:

• Azure: ADF, Synapse, Databricks, ADLS
• IaC: Terraform
• ETL/ELT: Python, SQL, Spark
• Access Management: Azure RBAC
• Visualization: Power BI, Tableau (nice to have)