Applied AI Research Engineer & Data Analytics Role

skillVentory; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

skillVentory is seeking a senior AI/ML professional to benchmark and prototype advanced models across NLP, CV, and speech tasks. The role emphasizes hands-on development, experimentation with leading frameworks, and collaboration with global teams.

You will study top papers, implement proofs-of-concept, and drive transfer learning and fine-tuning for domain-specific benchmarks. This position requires strong Python and ML tooling experience and an ability to operate across time zones.

Qualifications

• 6+ years in relevant AI/ML roles or equivalent seniority.
• Proficient in Python and ML libraries (NumPy, OpenCV, scikit-learn).
• Strong hands-on in deep learning frameworks (TensorFlow, PyTorch).
• Experience with transfer learning and fine-tuning of language and vision models.
• Exposure to NLP, CV, speech processing and related AI domains.

Responsibilities

• Benchmark open/closed AI models for various AI tasks.
• Study research papers and code for AI tasks (ASR, TTS, NER, embeddings, etc.).
• Develop prototypes to demonstrate model capabilities and advanced usage patterns.
• Fine-tune smaller models for domain benchmarking and evaluation.
• Collaborate with AI engineers to operationalize potential work on the platform.

Skills

Python programming

Deep learning

NLP basics

Computer vision basics

ML concepts

Team collaboration

Tools

TensorFlow

PyTorch

MLflow

Dataiku

Databricks

OpenCV

NumPy

Pandas

scikit-learn

Matplotlib

Seaborn

Job description

Enterprise Technology & Services (ETS) delivers shared technology services supporting all business applications and end users. ETS provides capabilities for all stages of software development lifecycle, enabling productive coding, functional and integration testing, application releases, and on-going monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated data-centre, network, compute, cloud, storage, and database functions. Architecture & Modernization Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities. Data & Analytics Engineering This is Vice President position that provides specialist data analysis and expertise that drive decision making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. We are an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. We support the Firm's global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm's infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. We have been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there's ample opportunity to move across the businesses for those who show passion and grit in their work.

What you'll do in the role :

• Benchmarking of different open/closed AI models for different AI tasks.
• Study and experiment with top research papers and associated code for different AI tasks e.g. ASR, TTS, NER, embedding generation, SLMs, VLM, tools usage, planning, orchestration, guardrails, evaluation, etc.
• Develop prototype to demonstrate model capabilities, advanced usage patterns.
• Fine-tune smaller models for benchmarking on specific domains and evaluation.
• Collaborate with AI engineers to bring potential work to the platform.

What you'll bring to the role:

• At least 6 years' of relevant experience would generally be expected to find the skills required for this role.
• 10 Yrs of exp.
• Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc
• Strong expertise in deep learning, its mathematical foundations, frameworks such as TensorFlow or PyTorch.
• Hands-on understanding of transfer learning, fine-tuning of deep learning models esp. contemporary language models, speech processing models, retrieval models, etc.
• Experience with NLP and basic understanding of other AI domains like computer vision, Speech processing, reinforcement learning, etc.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, data bricks
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively in a global organization and across time zones.