11+ IT risk Jobs in Pune | IT risk Job openings in Pune

Job Title : IT Risk & Controls Lead – Third Party Risk Management

Location : Pune (Onsite)

Experience : 5+ Years

Notice Period : Immediate or Serving Notice

Employment Type : Full-Time / Contractual

Mandatory Skills : Third Party Risk Management, IT Risk & Controls, System Development & Deployment Controls, Data Movement Controls, Identity & Access Management (IAM).

Key Requirements :

• Mandatory : Third Party Risk Management experience.
• Strong knowledge of IT Risk & Control frameworks (especially in financial services).
• Expertise in System Development, Data Movement, IAM (Identity & Access Management).
• Familiarity with Non-Financial Risk, compliance, and governance.
• Strong stakeholder management, communication, and analytical skills.
• Tools : MS Excel, SharePoint, Microsoft Teams, Confluence.

Responsibilities :

• Act as a trusted advisor to senior management on IT risk and control matters
• Govern controls across development, data, and access processes
• Ensure compliance with risk frameworks and identify areas for improvement
• Collaborate with Cybersecurity, IT, and Business teams to strengthen controls
• Support audits, regulatory compliance, and risk reporting

Preferred :

• Experience working in global teams and diverse cultural environments
• Knowledge of automation opportunities in control processes

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Skills:

Experience with Cassandra, including installing configuring and monitoring a Cassandra cluster.

Experience with Cassandra data modeling and CQL scripting. Experience with DataStax Enterprise Graph

Experience with both Windows and Linux Operating Systems. Knowledge of Microsoft .NET Framework (C#, NETCore).

Ability to perform effectively in a team-oriented environment

Sitecore Developer

Work From Office

Locations: Bangalore, Hyderabad, Noida, Gurgaon

Exp:  4 exp (relevant)

Notice Period: 15 days (Preferred Immediate joiners)

Position: IT Sales Manager

Academic Background: B com/ BA / B. Tech. (Electronics/ IT) / MBA or an equivalent recognized diploma in IT engineering

Experience: 6+Years

Technical Domain Knowledge:

• Exposure/ Information/ Comfort on IT.
• New technologies, vendors, and competitors operating in the vertical
• Cutting-edge sales and customer relationship management concepts across segments.

Professional skills (Functional):

• Customer Focus
• Account Mapping
• Customer needs understanding
• Persuasion & Negotiation skills
• Relationship Management
• Customer Retention
• Service focus