Manager HR- TA Specialist

The DataFlow Group is a leading global provider of specialized Primary Source Verification (PSV) solutions, background screening and immigration compliance services. The DataFlow Group partners with clients across the public and private sectors to assist them in mitigating potential risk by exposing fraudulent:

Duties and responsibilities:

Key Responsibilities:

● Model Selection & Training:

○ Lead the process of selecting and training state-of-the-art machine

learning models tailored to specific computer vision tasks, including object detection, image segmentation, and anomaly detection.

○ Apply advanced techniques for model fine-tuning and optimization to

achieve the best performance for various applications.

○ Leverage your expertise in YOLO, ViT (Vision Transformers), and other popular architectures to develop high-performing models.

● Computer Vision & Image Processing:

○ Develop and implement computer vision algorithms for tasks such as

object detection, image segmentation and anomaly detection.

○ Use tools like OpenCV for image pre-processing, augmentation, and other necessary transformations for robust model training.

● Model Deployment & Serving:

○ Deploy machine learning models in production environments using

TensorFlow or PyTorch Serving to create highly scalable and performant inference pipelines.

○ Ensure smooth integration of models with production systems and

optimise them for latency, throughput, and memory efficiency.

● MLOps & Data Pipelines:

○ Build and maintain end-to-end machine learning pipelines, from data

ingestion and processing to model inference and monitoring.

○ Apply best practices in ML Ops for versioning, tracking experiments,

automating workflows, and managing deployments.

○ Work with cloud platforms (AWS, GCP, Azure) and containerization

technologies (Docker, Kubernetes) for model serving.

● SQL & Data Management:

○ Write optimised and efficient SQL queries to extract and manipulate large datasets for model training and evaluation.

○ Analyse structured and unstructured data to generate insights and

features for model development.

● Model Evaluation & Performance Metrics:

○ Use statistical methods and metrics to evaluate model performance,

ensuring high accuracy, precision, recall, F1 score, etc., on real-world tasks.

Skills/ Qualifications:

1. Qualifications:

a. Bachelors or Masters. in Computer Science, Machine Learning, Artificial Intelligence, or related field.

b. 5+ years of hands-on experience in data science and machine learning, with a focus on computer vision.

2. Technical know-how:

a. Strong expertise in computer vision tasks, including object detection (YOLO), image segmentation, and image classification.

b. Knowledge of using tools like LabelMe to create image annotations required for training data labelling.

c. In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and Keras.

d. Familiarity with Vision Transformer (ViT) models and their applications.

e. Proficiency with OpenCV for image pre-processing, augmentation, and other related tasks.

f. Experience in building and deploying machine learning models using

TensorFlow Serving, PyTorch Serving, or similar tools.

g. Strong MLOps experience, with hands-on knowledge of creating and

maintaining data pipelines, automating workflows, and managing model

deployments using tools like Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

3. Data Handling:

a. Expertise in writing optimised SQL queries for large-scale data processing and analysis.

b. Ability to work with large, complex datasets and efficiently query, clean, and process them for training and inference purposes.

4. Model Evaluation:

a. Strong understanding of statistical methods and metrics to evaluate machine learning model performance.

b. Experience with A/B testing, model validation techniques, and performance benchmarking.

Good to have:

● Experience with large-scale distributed machine learning systems.

● Knowledge of advanced techniques such as self-supervised learning, transfer learning, or reinforcement learning.

● Familiarity with data versioning and experiment tracking tools like MLflow or DVC.

● Experience in integrating machine learning models into production environments for real-time inference.

You will be getting leads from the company. You need to build and maintain business relationships with new and existing customers. You understand customers' needs and recommend appropriate solutions, negotiate with clients to help them move down the sales funnel, record client feedback and maintain a customer database. 

Role will determine the process and strategy to be used in software design at a project level (Agile, top-down, bottom up, stepwise refinement, use of patterns and pattern languages, iterative and incremental processes etc.) and has a deep Understanding of the software development lifecycle and has knowledge of the overall application development space combined with understanding of the business and domain. Role will Identify risks across the project life-cycle and conceive mitigation strategies, will drive AGILE practices and frameworks within the organization and creating visibility for the same and guide the teams in application of AGILE frameworks, will resolve problems and identify opportunities for improvements within AGILE.  Will design and fine-tune DB solutions and will oversee performance tuning. Role will work with Configuration Management tools to enforce CM practices and processes. Role is required to help define and adhere to the QA standards and will work with a deep understanding of performance bottlenecks, production infrastructure, interfaces and dependencies of the product and Measure program performance against target and publish dashboards to leadership. Role is also responsible for Analyzing scope change requests to make informed decision on resourcing, cost and time estimation and effectively managing all escalations in-line with organization norms.

Director-Software Operations is also responsible for attracting and retaining top talent in the organization. Will use the “People first” approach in the decision making and helps the organization in the people engagement journey. Role is responsible for aligning the organizational objectives to the team objective, derive goals for individuals and ensure a fair, transparent, inclusive workplace culture. Will nurture teams through different situations, be responsible for the individual development plans and performance metrics.

Competencies:

• Anticipates stakeholder’s stated / unstated needs; suggests specific changes in processes to improve the company’s responsiveness and deliver superior stakeholder experience
• Builds and nurtures long-term, mutually profitable stakeholder partnerships. Builds a say in stakeholder decisions by establishing strong credibility and offering a superior end-to-end experience
• Builds and promotes systems / practices for effective capture, dissemination and management of knowledge at a Business Unit level
• Understands competitive global business environment and builds comfort with VUCA conditions, provides clarity to the team to act quickly and with precision on implicit and explicit stakeholder needs
• Focuses on continuous improvement through constant assessment of existing procedures, Selects and cross-fertilizes ideas across teams within the Business Units
• Drives collective accountability through appropriate actions (involving employees in goal-setting and ongoing communication
• Adapts management style to different situations and provides calmness and consistency to the team during stressful situations, serves as an advisor, providing guidance to multiple teams on contribution to key organizational decisions such that employee concerns are addressed.
• Drives synergy and cooperation across different stakeholders, to catalyze critical decision making, to work towards common organizational goal. Continuously owns and exceeds challenging targets; Drives team to consistently exceed past performance
• Encourages people to work outside of their comfort zone and creates the right conditions for them to demonstrate new competencies, Provides regular feedback in a constructive manner
• Develops and uses systems to organize and keep track of performance across the function, identifies areas to refocus team efforts and improve performance and quality while managing
• Shows respect for differences and draws upon different ideas in the business unit to enhance business performance, takes effort to create an open environment for team to voice views and capitalizes by leveraging synergies across teams.

Technical Skills:

• Should have prior experience in design, develop and maintaining .Net based web applications within all phases of the Software Development Life Cycle (SDLC)
• Should have worked on complex, multi-tiered architectural applications
• Strong experience in business understanding, requirement gathering and project scoping.
• Should have Experience of Object Oriented programming practices (SOLID principles, Design pattern)
• Should have prior experience in handling a large team of developers, testers, database developers and architects
• Should have experience in Feasibility Analysis - Technical feasibility (Study of proposed application, performance expected, application function, benefits), Financial feasibility (costs incurred, milestone timelines), Operational feasibility (does the application meet the need or solve the problem, will users be able to adapt to the application)
• Should have experience with the process of choosing from the design patterns and platforms and should be able to convey the merits and demerits of these to the team
• Should be well versed with the security frameworks, assessing vulnerabilities, Secured Code, SSL/Non SSL, Vulnerability tests amongst the areas being proficient at.
• Should have prior experience working with agile teams and alternative programming approaches like either of ADM/Scrum or Xtreme programming, KanBan or Re-factoring
• Experience in creating project charter for the project to clearly list out project objectives, duration, milestones, etc.
• Should have lead a team of Application and database developers and is competent to train/assist them on all their Technical requirements that come up as part of their day to day assignments
• Experience in developing web application with C#, MVC 5, ASP.Net, Web API
• Sound working experience in any one of the JS frameworks including advanced JS frameworks for web comprising of Angular, React, Backbone.
• Hands on HTML/5, CSS, Advance jQuery & JavaScript and advance knowledge of designing HTML pages with JQuery.
• Prior experience of bootstrap for managing highly dynamic & scalable browser-based UI.
• Hands on experience in writing high performance SQL queries, in SQL Server 2014/ 2016 or MYSQL will be preferred.
• Should be proficient at Cloud concepts & guiding principles - Various cloud solution like AWS, AZURE, OPENSHIFT, Pivotal Cloud Foundry, Google etc. and their key features, advantages and disadvantages
• Should be proficient at T-SQL programming and development
• Identify production and non-production application issues and assist team with optimal solution.
• Supporting creation of thought leadership (POVs, research papers) in the field of programming
• Identify opportunities to fine-tune and optimize applications of .Net developed projects, including periodic code review.
• Should have worked with Gantt charts or similar planning tools and should have prior experience in reporting/MIS
• Should Contribute to the development of new techniques and plans within area of expertise.

Educational Qualification and Experience:

• Minimum of 15 years of formal education - Graduate / Post Graduate in Computer Science / Information Technology.
• Professional work experience of 15 to 20 years including 5 to 7 years in a leadership role.