11+ AFS Jobs in India

A senior technical candidate who has managed  AFS (Anti Fraud Solutions),Risk & Anti money laundering (AML) projects.

Experience: 15+ years of experience in BFSI domain.

Location: Mumbai

Note- Candidate should be from IT product companies only.

Key Skills: Hands on BFSI Domain experience, Strong leadership Qualities, Excellent communication and presentation skills

Roles & Responsibilities:

• Understand and maintain awareness of Global Regulatory guide lines, Risk management, and industry leading practices and use cases for AML, Anti-Fraud and Tax Reg.
• Responsible for AML and AFS product development & support and activities including roadmap planning and strategic direction.
• Enhancing our value proposition in the product demos and presentations to the clients.
• Proactively managing all aspects of the product life cycle including strategic planning, budget planning, product development, and marketing and communication strategy.
• Constantly enrich the software functionality and enhance its competitiveness working closely with Product Delivery Team.
• Should be able to speak in events on RegTech.

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

Role Overview:

As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.

Key Responsibilities:

• Design and manage scalable, secure, and highly available cloud infrastructure.
• Lead efforts in implementing and optimizing CI/CD pipelines.
• Automate repetitive tasks and develop robust monitoring solutions.
• Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
• Troubleshoot complex issues across development, staging, and production environments.
• Mentor and guide L1 engineers on best practices.
• Stay updated on emerging DevOps tools and technologies.
• Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
• Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
• Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
• Proficiency in scripting languages like Python, Bash, or PowerShell.
• Deep understanding of system security, networking, and load balancing.
• Strong analytical skills and problem-solving mindset.
• Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.

What We Offer:

• Opportunity to work with a cutting-edge tech stack in a product-first company.
• Collaborative and growth-oriented environment.
• Competitive salary and benefits.
• Freedom to innovate and contribute to impactful projects.

Job Description: Speech Recognition Engineer

3 years of industry experience

Responsibility:

 Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or

Deep Speech using PyTorch or Tensorflow

 Assist to define technology required for Speech to Text besides core engine

and to design integration of these technologies.

 Work on improvement of model's accuracy and guide the team with best practices.

Desired experience:

 Good understanding of machine learning(ML) tools.

 Should be well versed in classical speech processing methodologies like hidden

Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural

networks (ANNs), Language modeling, etc.

 Hands-on experience of current deep learning (DL) techniques like Convolutional

neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term

memory (LSTM), connectionist temporal classification (CTC), etc used for

speech processing is essential.

 The candidate should have hands-on experience and any of the end-to-end

implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep

Speech

 Hands-on PyTorch and Tensorflow experience is desirable.

 Experience in techniques used for resolving issues related to accuracy, noise,

confidence scoring etc.

 Ability to implement recipes using scripting languages like bash

 Ability to develop applications using python, c++, Java

 Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT

 Experience in CI/CD pipeline, MLOps processes

 Hands-on deployment experience using cloud applications like AWS, GCP

Location: Bangalore

Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET

or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)

techniques like CNN, RNN, LSTM etc., AWS, GCP

Our client is a premier web design and software solutions company based out of Delhi, Florida and California. They are a creative, young and dynamic organisation that provides superior quality solutions like web design and development, mobile app development on various platforms, cloud apps and Ecommerce web solutions. They have clients across US, Canada, UK, and Australia, who receive market ready and saleable apps.

What you need to have:

VIDEO EDITOR

Tesseract Esports is looking for an experienced Video Editor to provide to provide digital content such as frag movies, hype videos, highlights and various ancillary content for Esports. This role is responsible for pre and post-production of all video deliverables.

You will interact with creative and broadcast teams and other client staff to produce the deliverables for internal and external use. 

About Tesseract Esports

Tesseract Esports was founded in 2015 with an intent to elevate and transform the nascent gaming scene in South and Southeast Asia into a high profile and professional esport. We played a pioneering role by being the first to launch and introduce mobile esports in the region. We were also among the first to produce the biggest and most successful esports events and gaming activations in India at an unprecedented scale, paving the way for the growth of esports in the country.

We have since gone to partner with game publishers, developers, brands and media platforms to produce large scale esports events and engagements and become one of the leading esports production houses in the Asia-Pacific. We have worked with Qualcomm, MPL, Tencent Games, Razer, Garena, Acer and several other partners on many successful live and online esports activations. We are a growing team of highly skilled and passionate individuals focused on delivering the best competitive experiences. We are headquartered at our state of the art production studio in Hyderabad, India which also happens to be the largest esports facility in South Asia.

• Designing and building mobile applications for Apple’s iOS platform.
• Collaborating with the design team to define app features.
• Ensuring quality and performance of the application to specifications.
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates